Source: https://ftp.utcluj.ro/pub/users/nedevschi/index2.html
Timestamp: 2019-04-23 22:17:51+00:00

Document:
· Independent evaluator of EU FP7 projects, evaluator of EU COST and CHIST – ERA projects.
· “Marius Hanganut” Prize of Technical University of Cluj-Napoca in 2005 for Achievements in Research Activity.
· Vatavu and S. Nedevschi, "Vision Based Motion Estimation of Obstacles in Dynamic Unstructured Environments", Informatics in Control, Automation and Robotics, Lecture Notes in Electrical Engineering (LNEE), Volume 283, Springer International Publishing, pp 235-249, 2014.
· S. Nedevschi, T. Marita, R. Danescu, F. Oniga, S. Bota, I. Haller, C. Pantilie, M. Drulea, C. Golban, On Board 6D Visual Sensors for Intersection Driving Assistance Systems, chapter in ”Advanced Microsystems for Automotive Applications 2010: Smart Systems for Safety, Sustainability and Comfort”, (AMAA 2010), editors G. Meyer, J. Valldorf, W. Gessner, published by Springer 2010, pp. 253-264.
· A. I. Mitrea, S. Nedevschi, D. M. Ivan, D. Mitrea, O. M. Gurzau, P. Mitrea, D. Inoan, N. Lungu, D.Cimpean, “Modele deformabile 3D. Aplicatii”, Editura UT Press, 2010.
· A. I. Mitrea, S. Nedevschi, D. M. Ivan, D. Mitrea, O. M. Gurzau, N. Lungu, D.Cimpean, “Modele deformabile 2D. Aplicatii”, Editura UT Press, 2009, 106.
· S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Bota, M.-M. Meinecke, M. A. Obojski, ”Stereovision-Based Sensor for Intersection Assistance”, chapter in ”Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability and Comfort”, editors G. Meyer, J. Valldorf, W. Gessner, published by Springer, 2009, pp.129-164.
· S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Bota and C. Vancea, “A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision”, chapter in “Stereo Vision” editor A. Bhatti, published by InTech Education and Publishing, Vienna, 2008, pages 235-272.
· S. Nedevschi, R. Badea, editors, “Computers in Medical Diagnoses”, UT Press, 2008.
· S. Nedevschi, I. Rudas, editors “Proceedings of IEEE International Conference on Intelligent Engineering Systems 2004”, ISBN: 973-662-120-0, UT Press, 2004.
· S.Nedevschi, K. Pusztai, “Standards in Information Technology”, ISBN 973-686-075-2, Editura Casa Cartii de Stiinta, Cluj-Napoca, 2000.
· I. Salomie, S. Nedevschi, K. Pusztai, “Web Based Educational Technology”, ISBN 973-686-066-3, Editura Casa Cartii de Stiinta, Cluj-Napoca, 2000.
· S.Nedevschi, Z. Baruch, O. Cret, “Proiectarea sistemelor numerice folosind tehnologia FPGA”, Ed. Mediamira, 1999.
· S.Nedevschi, I.Suveg, L.Todoran, “Procesoare de semnale”, Ed. UT Press, 1997.
· S.Nedevschi, “Prelucrarea Imaginilor si Recunoasterea Formelor”, Ed. Microinformatica, 1997.
· S.Nedevschi, L.Todoran, “Microprocesoare”, Technical University of Cluj, 1995.
V. Popescu, S. Nedevschi, R. Danescu, T. Marita, “A Lane Assessment Method Using Visual Information Based on a Dynamic Bayesian Network”, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, online published in 2014.
A. Vatavu and S. Nedevschi, Vision Based Motion Estimation of Obstacles in Dynamic Unstructured Environments, vol. 283. Cham: Springer International Publishing, 2014, p. 235–249.
R. Danescu and S. Nedevschi, “A Particle-Based Solution for Modeling and Tracking Dynamic Digital Elevation Maps”, IEEE Transactions on Intelligent Transportation Systems, p. 1–14, 2014.
A. Costea, S. Nedevschi, Word Channel Based Multiscale Pedestrian Detection Without Image Resizing and Using Only One Classifier, Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2393-2400, 2014.
I. Giosan, S. Nedevschi, „Superpixel-based Obstacle Segmentation from Dense Stereo Urban Traffic Scenarios Using Intensity, Depth and Optical Flow Information”, accepted in IEEE Intelligent Transportation Systems Conference 2014 (ITSC 2014), October 8-11, Qingdao, China.
A. Iloie, I. Giosan, S. Nedevschi, “UV disparity based obstacle detection and pedestrian classification in urban traffic scenarios”, in IEEE International Conference on Intelligent Computer Communication and Processing, September 4-6, Cluj-Napoca, Romania, 2014, pp. 119-126.
C. Golban, S. Nedevschi, Moving rigid objects segmentation in 3D dynamic traffic scenes using a stereovision system, in IEEE International Conference on Intelligent Computer Communication and Processing, September 4-6, Cluj-Napoca, Romania, 2014, pp. 165-170.
D. Mitrea, S. Nedevschi, R. Badea, “The Role of the Textural Microstructure Coocurrence Matrices in the Classification of the Abdominal Tumors, based on Ultrasound Images”, in IEEE International Conference on Intelligent Computer Communication and Processing, September 4-6, Cluj-Napoca, Romania, 2014, pp. 187-190.
P. Jeong, A. Vesa, A. Rarau, S. Nedevschi, “Real-time driving assistant application for Android-based mobile devices”, in IEEE International Conference on Intelligent Computer Communication and Processing, September 4-6, Cluj-Napoca, Romania, 2014, pp.205-210.
A. - E. Nagy, I. Szakats, T. Marita, and S. Nedevschi, “Development of an omnidirectional stereo vision system”, in Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013, Cluj-Napoca, 2013, p. 235–242.
I. Haller and S. Nedevschi, “Design of Interpolation Functions for Subpixel-Accuracy Stereo-Vision Systems”, IEEE Transactions on Image Processing, vol. 21, no. 2, p. 889–898, Feb. 2012.
D. Mitrea, S. Nedevschi, M. Socaciu, and R. Badea, “The role of the superior order GLCM in the characterization and recognition of the liver tumors from ultrasound images”, Radioengineering, vol. 21, no. 1, p. 79–85, 2012.
A. Ciurte, S. Nedevschi, and I. Rasa, “An algorithm for solving some nonlinear systems with applications to extremum problems”, Taiwanese Journal of Mathematics, vol. 16, no. 3, p. 1137 – 1150, 2012.
C. Vicas, M. Lupsor, M. Socaciu, S. Nedevschi, and R. Badea, “Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis”, Computational and Mathematical Methods in Medicine, vol. 2012, p. 1–9, 2012.
D. Mitrea, P. Mitrea, S. Nedevschi, R. Badea, M. Lupsor, M. Socaciu, A. Golea, C. Hagiu, and L. Ciobanu, “Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images”, Computational and Mathematical Methods in Medicine, vol. 2012, p. 1–17, 2012.
A. I. Mitrea, R. Badea, D. Mitrea, S. Nedevschi, P. Mitrea, D. M. Ivan, and O. M. Gurzău, “Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging”, Computational and Mathematical Methods in Medicine, vol. 2012, p. 1–11, 2012.
R. Danescu, C. Pantilie, F. Oniga, and S. Nedevschi, “Particle Grid Tracking System Stereovision Based Obstacle Perception in Driving Environments”, IEEE Intelligent Transportation Systems Magazine, vol. 4, no. 1, p. 6–20, 2012.
A. Vatavu, R. Danescu, and S. Nedevschi, “Real-time dynamic environment perception in driving scenarios using difference fronts”, in 2012 IEEE Intelligent Vehicles Symposium, Alcala de Henares, Spain, June, 2012, p. 717–722.
C. Golban, S. Istvan, and S. Nedevschi, “Stereo based visual odometry in difficult traffic scenes”, in 2012 IEEE Intelligent Vehicles Symposium, Alcala de Henares, Spain, June, 2012, p. 736–741.
V. Popescu, R. Danescu, and S. Nedevschi, “On-road position estimation by probabilistic integration of visual cues”, in 2012 IEEE Intelligent Vehicles Symposium, Alcala de Henares, Spain, June, 2012, p. 583–589.
A. Vatavu and S. Nedevschi, “Real-time modeling of dynamic environments in traffic scenarios using a stereo-vision system”, in 2012 15th International IEEE Conference on Intelligent Transportation Systems, Anchorage, USA, September, 2012, p. 722–727.
S. Nedevschi, I. R. Peter, and A. Mandrut, “PCA type algorithm applied in face recognition”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 167–171.
I. Giosan and S. Nedevschi, “A solution for probabilistic inference and tracking of obstacles classification in urban traffic scenarios”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 221–227.
A. Vatavu and S. Nedevschi, “Vision based Real-time Modeling of Dynamic Unstructured Environments in Driving Scenarios”, in ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Rome, Italy, 28 - 31 July, 2012, 2012, p. 141–149.
D. Pojar and S. Nedevschi, “Improving Stereo Vision Odometry for Mobile Robots in Outdoor Dynamic Environments”, in ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Rome, Italy, 28 - 31 July, 2012, 2012, p. 476–480.
V. Popescu and S. Nedevschi, “Cut-in maneuver recognition and behavior generation using Bayesian networks and fuzzy logic”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 123–130.
A. C. Cosma, R. Brehar, and S. Nedevschi, “Part-based pedestrian detection using HoG features and vertical symmetry”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 229–236.
D. Pojar, P. Jeong, and S. Nedevschi, “Robust visual odometry using stereo reconstruction error model”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 149–154.
C. D. Pantilie and S. Nedevschi, “Optimizing the Census Transform on CUDA enabled GPUs”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 201–207.
P. Jeong, D. Pojar, and S. Nedevschi, “Accurate localization of mobile robot under the weakly callibrated motion model”, in 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, 2012, p. 141–147.
D. Mitrea, S. Nedevschi, and R. Badea, “The Role of the Multiresolution Textural Features in Improving the Characterization and Recognition of the Liver Tumors, Based on Ultrasound Images”, in 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2012, Timisoara, Romania, September 26-29, 2012, 2012, p. 192–199.
R. Danescu, F. Oniga, and S. Nedevschi, “Modeling and Tracking the Driving Environment With a Particle-Based Occupancy Grid”, IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, p. 1331–1342, Dec. 2011.
C. Vicas, M. Lupsor, R. Badea, and S. Nedevschi, “Usefulness of textural analysis as a tool for noninvasive liver fibrosis staging”, Journal of Medical Ultrasonics, vol. 38, no. 3, p. 105–117, Jul. 2011.
C. I. Radu, M. Grigorescu, M. Lupşor, C. Vicaş, S. Nedevschi, R. Badea, Z. Spârchez, D. Crisan, and A. Serban, “863 Comparison Between Three Non-Invasive Methods for the Diagnosis of Steatosis in Non-Alcoholic Fatty Liver Disease: Attenuation Coefficient Computed on the Ultrasound Image, Adiponectin and Steatotest”, Journal of Hepatology, vol. 54, no. S1, p. S344, Mar. 2011.
A. Vatavu, S. Nedevschi, and F. Oniga, Real Time Environment Representation in Driving Scenarios Based on Object Delimiters Extraction, in Lecture Notes in Electrical Engineering 85 LNEE, Springer Berlin Heidelberg, 2011, p. 255–267.
M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefanescu, M. Grigorescu, C. Radu, and D. Crisan, Non-invasive Steatosis Assessment through the Computerized Processing of Ultrasound Images: Attenuation versus First Order Texture Parameters, vol. 36. Springer Berlin Heidelberg, 2011, p. 184–189.
D. Mitrea, S. Nedevschi, M. Socaciu, and R. Badea, The Role of the Feature Extraction Methods in Improving the Textural Model of the Hepatocellular Carcinoma, Based on Ultrasound Images, vol. 188, Springer Berlin Heidelberg, 2011, p. 496–509.
R. Danescu and S. Nedevschi, “New results in stereovision based lane tracking”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, June 5-9, 2011, p. 230–235.
C. Golban and S. Nedevschi, “Linear vs. non linear minimization in stereo visual odometry”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, June 5-9, 2011, p. 888–894.
F. Oniga and S. Nedevschi, “Curb detection for driving assistance systems: A cubic spline-based approach”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, June 5-9, 2011, p. 945–950.
O. Aycard, Q. Baig, S. Bota, F. Nashashibi, S. Nedevschi, C. Pantilie, M. Parent, P. Resende, and T. D. Vu, “Intersection safety using lidar and stereo vision sensors”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, June 5-9, 2011, p. 863–869.
V. Popescu, M. Bace, and S. Nedevschi, “Lane identification and ego-vehicle accurate global positioning in intersections”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, June 5-9, 2011, p. 870–875.
C. D. Pantilie and S. Nedevschi, “Real-time semi-global matching using segmentation and plane fitting for improved accuracy on the GPU”, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA, October 5-7, 2011, p. 784–790.
I. Szakats, C. Golban, and S. Nedevschi, “Fast vision based ego-motion estimation from stereo sequences - A GPU approach”, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA, October 5-7, 2011, p. 538–543.
M. Drulea and S. Nedevschi, “Total variation regularization of local-global optical flow”, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA, October 5-7, 2011, p. 318–323.
S. Bota and S. Nedevschi, “Tracking multiple objects in urban traffic environments using dense stereo and optical flow”, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA, October 5-7, 2011, p. 791–796.
A. Ciurte, N. Houhou, S. Nedevschi, A. Pica, F. L. Munier, J. - P. Thiran, X. Bresson, and M. Bach Cuadra, “An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features”, in 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011, p. 969–972.
T. Marita, M. Negru, R. Danescu, and S. Nedevschi, “Stop-line detection and localization method for intersection scenarios”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 293–298.
M. Negru and S. Nedevschi, “Improving image quality by camera signal adaptation to lighting conditions”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 273–279.
S. Bota and S. Nedevschi, “Vision based obstacle tracking in urban traffic environments”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 231–238.
R. Brehar and S. Nedevschi, “A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 299–306.
R. Brehar, C. Fortuna, S. Bota, D. Mladenic, and S. Nedevschi, “Spatio-temporal reasoning for traffic scene understanding”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 377–384.
A. Vatavu, R. Danescu, and S. Nedevschi, “Environment perception using dynamic polylines and particle based occupancy grids”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 239–244.
S. Nedevschi, I. R. Peter, and A. Mandrut, “Performance prediction using Kernel Canonical Correlation Analysis”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 157–162.
D. Mitrea, S. Nedevschi, and R. Badea, “The role of the superior order GLCM and of the generalized cooccurrence matrices in the characterization and automatic diagnosis of the hepatocellular carcinoma, based on ultrasound images”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 197–204.
F. Oniga, M. Miron, R. Danescu, and S. Nedevschi, “Automatic recognition of low earth orbit objects from image sequences”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 335–338.
N. Tomasev, R. Brehar, D. Mladenic, and S. Nedevschi, “The influence of hubness on nearest-neighbor methods in object recognition”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 367–374.
I. Toma, M. Chezan, R. Brehar, S. Nedevschi, and D. Fensel, “SIM, a Semantic Instrumentation and Monitoring solution for large scale reasoning systems”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 151–156.
C. Vicas, M. Lupsor, M. Socaciu, R. Badea, and S. Nedevschi, “Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 205–212.
A. D. Costea, R. Varga, T. Marita, and S. Nedevschi, “Refining object recognition using scene specific object appearance frequencies”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 179–185.
R. Brehar, I. Giosan, A. Vatavu, M. Negru, and S. Nedevschi, “Modeling the behavior of large scale reasoning systems using clustering and regression”, in 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011, p. 163–169.
V. Popescu, M. Bace, and S. Nedevschi, “Probabilistic Approach for Automated Reasoning for Lane Identification in Intelligent Vehicles”, in 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011, p. 255–258.
D. Mitrea, S. Nedevschi, and R. Badea, “The role of the superior order GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based on ultrasound images”, in 2011 34th International Conference on Telecommunications and Signal Processing (TSP), 2011, p. 602–606.
C. D. Pantilie, I. Haller, M. Drulea, and S. Nedevschi, “Real-Time Image Rectification and Stereo Reconstruction System on the GPU”, in 2011 10th International Symposium on Parallel and Distributed Computing, 2011, p. 79–85.
C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Detection and Staging of Liver Fibrosis using Additive Logistic Models”, in Artificial Intelligence and Applications / 718: Modelling, Identification, and Control, 2011, p. 717-020.
I. Toma, M. Chezan, R. Brehar, S. Nedevschi, and D. Fensel, “SIM, a Semantic Instrumentation and Monitoring Solution for Large Scale Reasoning Systems”, in 2011 IEEE Fifth International Conference on Semantic Computing, 2011, p. 118–124.
I. Toma, M. Chezan, R. Brehar, S. Nedevschi, and D. Fensel, “SIM, a Semantic Instrumentation and Monitoring Solution for Large Scale Reasoning Systems”, in Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), Palo Alto, CA, USA, September 18-21, 2011, 2011, p. 118–124.
A. Ciurte, S. Nedevschi, and I. Rasa, “A Generalization of the EMML and ISRA Algorithms for Solving Linear Systems”, Journal of Computational Analysis and Applications, vol. 12, no. 4, p. 799-816, 2010.
F. Oniga and S. Nedevschi, “Processing Dense Stereo Data Using Elevation Maps: Road Surface, Traffic Isle, and Obstacle Detection”, IEEE Transactions on Vehicular Technology, vol. 59, no. 3, p. 1172–1182, Mar. 2010.
S. Nedevschi, T. Marita, R. Danescu, F. Oniga, S. Bota, I. Haller, C. Pantilie, M. Drulea, and C. Golban, On-Board 6D Visual Sensor for Intersection Driving Assistance, in Advanced Microsystems for Automotive Applications 2010: Smart Systems for Green Cars and Safe Mobility, editors G. Meyer, J. Valldorf, W. GessnerHeidelberg, Springer Berlin Heidelberg, 2010, p. 253–264.
I. Haller, C. Pantilie, F. Oniga, and S. Nedevschi, “Real-time semi-global dense stereo solution with improved sub-pixel accuracy”, in 2010 IEEE Intelligent Vehicles Symposium, University of California, San Diego, CA, USA, June 20-24, 2010, p. 369–376.
R. Danescu, F. Oniga, and S. Nedevschi, “Particle grid tracking system for stereovision based environment perception”, in 2010 IEEE Intelligent Vehicles Symposium, University of California, San Diego, CA, USA, June 20-24, 2010, p. 987–992.
I. Haller, C. Pantilie, T. Marita, and S. Nedevschi, “Statistical method for sub-pixel interpolation function estimation”, in 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, October 2010, p. 1098–1103.
F. Oniga and S. Nedevschi, “Polynomial curb detection based on dense stereovision for driving assistance”, in 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, October 2010, p. 1110–1115.
R. Danescu and S. Nedevschi, “Detection and classification of painted road objects for intersection assistance applications”, in 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, October 2010, p. 433–438.
C. D. Pantilie and S. Nedevschi, “Real-time obstacle detection in complex scenarios using dense stereo vision and optical flow”, in 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, October 2010, p. 439–444.
D. Pojar, P. Jeong, and S. Nedevschi, “Improving localization accuracy based on Lightweight Visual Odometry”, in 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, October 2010, p. 641–646.
P. Jeong and S. Nedevschi, “Reliable Localization and Map Building based on Visual Odometry and Ego Motion Model in Dynamic Environment”, in VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010 - Volume 1, 2010, p. 316–321.
S. Nedevschi, I. R. Peter, I. - A. Dobos, and C. Prodan, “An improved PCA type algorithm applied in face recognition”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 259-262.
S. Nedevschi, V. Popescu, T. Marita, R. Danescu, M. - M. Meinecke, M. - A. Obojski, and J. Knaup, “Intersection representation enhancement by sensorial data and digital map alignment”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p.393-400.
C. Vicas and S. Nedevschi, “Performance evaluation of the textural analysis algorithms in liver fibrosis detection using ultrasound software phantoms”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 155-162.
I. Haller and S. Nedevschi, “GPU optimization of the SGM stereo algorithm”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 197-202.
G. Lisca, P. Jeong, and S. Nedevschi, “Automatic one step extrinsic calibration of a multi layer laser scanner relative to a stereo camera”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 223-230.
A. Vatavu, S. Nedevschi, and F. Oniga, “Real-time environment representation based on Occupancy Grid temporal analysis using a Dense Stereo-Vision System”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 203-210.
F. Oniga, R. Danescu, and S. Nedevschi, “Mixed road surface model for driving assistance systems”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 185-190.
M. Drulea, I. R. Peter, and S. Nedevschi, “Optical flow A combined local-global approach using L1 norm”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 217-222.
C. Golban, I. Golban, and S. Nedevschi, “Vision based three-dimensional vehicle motion detection by minimizing nonlinear functions”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 239-242.
R. Brehar, S. Nedevschi, and L. Daian, “Pillars detection for side viewed vehicles”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 247-250.
D. Pojar, P. Jeong, and S. Nedevschi, “Localization in urban traffic environment for mobile robots based on stereo real-time Lightweight Visual Odometry”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 231-238.
C. D. Pantilie, S. Bota, I. Haller, and S. Nedevschi, “Real-time obstacle detection using dense stereo vision and dense optical flow”, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing, 2010, p. 191-196.
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, “Experimenting various classification techniques for improving the automatic diagnosis of the malignant liver tumors, based on ultrasound images”, in 2010 3rd International Congress on Image and Signal Processing, 2010, p. 1853–1858.
C. Radu, M. Grigorescu, M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, M. D. Grigorescu, Z. Sparchez, D. Crisan, and D. Feier, “The diagnostic performance of attenuation coefficient computed on the ultrasound image compared to a biochemical marker — SteatoTest — for steatosis quantification in non-alcoholic fatty liver disease”, in 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010, p. 1–5.
M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, C. Radu, H. Stefanescu, and D. Crisan, “Non-invasive steatosis assessment in NASH through the computerized processing of ultrasound images: Attenuation versus textural parameters”, in 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010, p. 333-338.
C. Vicas, M. Lupsor, R. Badea, and S. Nedevschi, “Detection of anatomical structures on ultrasound liver images using Gabor filters”, in 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010, p. 249-253.
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, “Advanced classification methods for improving the automatic diagnosis of the hepatocellular carcinoma, based on ultrasound images”, in 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010, p. 265-271.
S. Nedevschi, S. Bota, and C. Tomiuc, “Stereo-Based Pedestrian Detection for Collision-Avoidance Applications”, IEEE Transactions on Intelligent Transportation Systems, vol. 10, no. 3, p. 380–391, Sep. 2009.
R. Danescu and S. Nedevschi, “Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision”, IEEE Transactions on Intelligent Transportation Systems, vol. 10, no. 2, p. 272–282, Jun. 2009.
S. Nedevschi, C. Golban, and C. Mitran, “Improving accuracy for Ego vehicle motion estimation using epipolar geometry”, in 2009 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, USA, October 3-7, 2009, pp. 596-602.
R. Danescu, F. Oniga, S. Nedevschi, and M. - M. Meinecke, “Tracking multiple objects using particle filters and digital elevation maps”, in 2009 IEEE Intelligent Vehicles Symposium, Xi’An, China, June 3-5, 2009, p. 88–93.
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Bota, M. M. Meinecke, and M. A. Obojski, Stereovision-Based Sensor for Intersection Assistance, in Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability and Comfort, editors G. Meyer, J. Valldorf, W. Gessner, Springer Berlin Heidelberg, 2009, p. 129–163.
A. Vatavu, S. Nedevschi, and F. Oniga, “Real Time Object Delimiters Extraction for Environment Representation in Driving Scenarios”, in ICINCO 2009, Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics, Volume Robotics and Automation, Milan, Italy, July 2-5, 2009, 2009, p. 86–93.
F. Oniga, S. Nedevschi, M. M. Meinecke, “Temporal Integration of Occupancy Grids Detected from Dense Stereo Using an Elevation Map Representation”, in Proceedings of the 6th International Workshop on Intelligent Transportation (WIT 2009), Hamburg, Germany, March 24-25, 2009, pp. 133-138.
S. Nedevschi, T. Marita, R. Danescu, F. Oniga, and S. Bota, “On-board Stereo Sensor for Intersection Driving Assistance. Architecture and Specification”, in 2009 IEEE 5-th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 2009, p. 409-416.
A. Ciurte and S. Nedevschi, “Texture analysis within contrast enhanced abdominal CT images”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 73–78.
R. Danescu, D. Lebu, F. Oniga, S. Nedevschi, and M. - M. Meinecke, “A flexible solution for detection and tracking of multiple objects”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 165–168.
S. Bota, S. Nedevschi, and M. Konig, “A framework for object detection, tracking and classification in urban traffic scenarios using stereovision”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 153–156.
D. Pojar, P. Jeong, and S. Nedevschi, “Real-time slam based on Hybrid Odometry and LDPDs (Local differential Probability Distances)”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 119–126.
R. Borca-Muresan and S. Nedevschi, “Correlation between features and classifiers for semantic understanding of pedestrian attitudes in traffic scenes”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 149–152.
I. Giosan, S. Nedevschi, and S. Bota, “Real time stereo vision based pedestrian detection using full body contours”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 79–86.
C. Golban, C. Mitran, and S. Nedevschi, “A practical method for ego vehicle motion estimation from video”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 87–94.
M. Negru and S. Nedevschi, “Camera response estimation. Radiometric calibration”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 103–109.
C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Automatic detection of liver capsule using Gabor Filters. Applications in steatosis quantification”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 133–140.
F. Oniga, S. Nedevschi, R. Danescu, and M. - M. Meinecke, “Global map building based on occupancy grids detected from dense stereo in urban environments”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 111–117.
T. Marita, “Barriers detection method for stereovision-based ACC systems”, in 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, 2009, p. 95–101.
I. Giosan and S. Nedevschi, Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes, vol. 5337. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 154–163.
R. Borca-Mureşan, S. Nedevschi, and F. Măguran, Mixtures of Classifiers for Recognizing Standing and Running Pedestrians, vol. 5337. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 345–355.
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, Classification of the Hepatocellular Carcinoma in Ultrasound Images Based on the Imagistic Textural Model of This Tumor, vol. 26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 267–272.
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, “Improving the Textural Model of the Hepatocellular Carcinoma Using Dimensionality Reduction Methods”, in 2009 2nd International Congress on Image and Signal Processing, 2009, p. 1–5.
D. Mitrea, S. Nedevschi, and D. Gorgan, “Emotional State Evaluation Based On The Human Body Position, Through Computer-Vision Methods”, Romanian Journal of Human-Computer Interaction, vol. 2, no. RoCHI 2009, p. 73-76, 2009.
R. Danescu, S. Nedevschi, M. - M. Meinecke, and T. - B. To, “A stereovision-based probabilistic lane tracker for difficult road scenarios”, in 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, June 4-6, 2008, p. 536–541.
Pangyu Jeong and S. Nedevschi, “Obstacle detection based on the hybrid road plane under the weak calibration conditions”, in 2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, June 4-6, 2008, p. 446–451.
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb Detection Based on a Multi-Frame Persistence Map for Urban Driving Scenarios”, in 2008 11th International IEEE Conference on Intelligent Transportation Systems, Beijing, China, October 12-15, 2008, p. 67–72.
S. Nedevschi, A. Vatavu, F. Oniga, and M. M. Meinecke, “Forward collision detection using a Stereo Vision System”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 115–122.
S. Nedevschi, A. Ciurte, and G. Mile, “Kidney CT image segmentation using multi-feature EM algorithm, based on Gabor filters”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 283–286.
R. Danescu and S. Nedevschi, “Adaptive and robust road tracking system based on stereovision and particle filtering”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 67–73.
G. Catalin and S. Nedevschi, “Object tracking from stereo sequences using particle filter”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 279–282.
S. Bota and S. Nedevschi, “Camera motion estimation using monocular and stereo-vision”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 275–278.
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb segments detection with temporal filtering for urban driving scenarios”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 291–294.
R. Borca-Muresan and S. Nedevschi, “Meta-classifier for pedestrian attitude recognition”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 33–40.
D. Mitrea, S. Nedevschi, B. Petrut, and I. Coman, “The imagistic textural model of the prostatic adenocarcinoma”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 107–114.
S. Nedevschi, C. Pantilie, T. Marita, and S. Dudea, “Statistical methods for automatic segmentation of elastographic images”, in 2008 4th International Conference on Intelligent Computer Communication and Processing, 2008, p. 287–290.
R. Borca-Muresan and S. Nedevschi, “Meta-classifier for pedestrian attitude recognition”, in Intelligent Computer Communication and Processing, 2008. ICCP 2008. 4th International Conference on, 2008, p. 33-40.
M. Lupsor, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefănescu, Z. Sparchez, A. Serban, H. Branda, M. Florea, and R. Badea, “Steatohepatitis detection from ultrasound images using attenuation and backscattering coefficients”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079763, 2008.
D. Mitrea, S. Nedevschi, M. Lupsor, and R. Badea, “Exploring the textural parameters obtained from ultrasound images for modeling the liver pathological stages in the evolution towards hepatocellular carcinoma”, in 2008 IEEE International Conference on Automation, Quality and Testing, Robotics, 2008, p. 128–133.
M. Grigorescu, C. Radu, M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, Z. Sparchez, D. Crisan, and A. Serban, “Comparison between attenuation coefficient computed on the ultrasound image and a biological marker, adiponectin, in the diagnosis of steatosis in non-alcoholic fatty liver disease”, in 2008 IEEE International Conference on Automation, Quality and Testing, Robotics, 2008, p. 118–122.
A. Ciurea, D. Dumitriu, C. Ciortea, S. Nedevschi, S. Bolboaca, and S. Dudea, “Benign versus malignant nodular breast lesion by using elastosonography: preliminary report”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079808, 2008.
O. Dancea, M. Gordan, M. Dragan, I. Stoian, and S. Nedevschi, “Postoperatory risk classification of prostate cancer patients using support vector machines”, in 2008 IEEE International Conference on Automation, Quality and Testing, Robotics, 2008, p. 53–56.
M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, Z. Sparchez, C. Radu, D. Crisan, A. Serban, and H. Branda, “Diagnosis value of the attenuation coefficient computed from ultrasound image for predicting the presence and severity of nonalcoholic steatohepatitis”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079771, 2008.
M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefanescu, C. Radu, D. Crisan, Z. Sparchez, A. Serban, and H. Branda, “Ultrasonographic diagnosis of nonalcoholic steatohepatitis based on the quantitative evaluation of the ultrasound beam behavior into the liver”, in 2008 IEEE International Conference on Automation, Quality and Testing, Robotics, 2008, p. 112–117.
H. Stefanescu, R. Badea, M. Lupsor, D. Capatana, R. Cazan, O. Dancea, T. Marita, D. Mitrea, S. Nedevschi, L. Neamţu, and V. Popiţa, “Validaton of an ultrasound-based tele-screening network for hepatocellular carcinoma”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079761, 2008.
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Bota, and C. Vance, A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision. InTech, 2008.
S. Nedevschi, C. Vancea, T. Marita, and T. Graf, “Online Extrinsic Parameters Calibration for Stereovision Systems Used in Far-Range Detection Vehicle Applications”, IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 4, p. 651–660, Dec. 2007.
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Sobol, C. Tomiuc, C. Vancea, M. M. Meinecke, T. Graf, T. B. To, and M. A. Obojski, “A sensor for urban driving assistance systems based on dense stereovision”, in IEEE Intelligent Vehicles Symposium, Proceedings, Istanbul, June, 2007, p. 276–283.
F. Oniga, S. Nedevschi, M. M. Meinecke, and T. B. To, “Road surface and obstacle detection based on elevation maps from dense stereo”, in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Seattle, WA, 2007, p. 859–865.
R. Danescu, S. Nedevschi, M. M. Meinecke, and T. B. To, “Lane geometry estimation in urban environments using a stereovision system”, in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Seattle, WA, 2007, p. 271–276.
R. Danescu, S. Nedevschi, M. M. Meinecke, and T. Graf, “Stereovision based vehicle tracking in urban traffic environments”, in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Seattle, WA, 2007, p. 400–404.
S. Nedevschi, C. Tomiuc, S. Bota, “Stereo Based Pedestrian Detection for Collision Avoidance Applications”, Proceedings of ICRA 2007 Workshop: Planning, Perception and Navigation for Intelligent Vehicles, Roma, April, 2007, pp. 39-44.
M. Lupsor, R. Badea, C. Vicas, S. Nedevschi, H. Stefanescu, S. Tripon, T. Suteu, C. Radu, and M. Grigorescu, “Estimating the fibrosis stage in chronic hepatits C patients using image processing methods on ultrasonographic images – preliminary results”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 28, no. S 1, p. s-2007-988887, 2007.
M. Lupsor, D. Mitrea, S. Nedevschi, and R. Badea, “Representation and modelling of cirrhosis and hepatocarcinoma from ultrasound images using texture-based methods”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 28, no. S 1, p. s-2007-988854, 2007.
H. Stefanescu, R. Badea, M. Lupsor, S. Tripon, O. Dancea, D. Capatana, I. Stoian, D. Mitrea, M. Tiberiu, S. Nedevschi, L. Neamtiu, and V. Popita, “Telemedicine network for ultrasound screening of HCC”, Ultraschall in der Medizin - European Journal of Ultrasound, vol. 28, no. S 1, p. s-2007-989092, 2007.
C. Pocol, S. Nedevschi, and M. A. Obojski, “Obstacle detection for mobile robots, using dense stereo reconstruction”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 127–132.
R. Danescu, S. Nedevschi, and T. - B. To, “A stereovision-based lane detector for marked and non-marked urban roads”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 81–88.
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb detection based on elevation maps from dense stereo”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 119–125.
C. Tomiuc, S. Nedevschi, and M. M. Meinecke, “Pedestrian detection and classification based on 2D and 3D information for driving assistance systems”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 133–139.
C. Vancea and S. Nedevschi, “LUT-based image rectification module implemented in FPGA”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 147–154.
D. Mitrea, S. Nedevschi, C. Cenan, M. Lupsor, and R. Badea, “Exploring texture-based parameters, noninvasive characterization and modeling of diffuse liver diseases and liver cancer from ultrasound images”, WSEAS Transactions on Computers, vol. 6, no. 2, p. 283–290, 2007.
T. Marita, F. Oniga, S. Nedevschi, and T. Graf, “Calibration accuracy assessment methods for stereovision sensors used in vehicles”, in ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p. 111–118.
P. Jeong and S. Nedevschi, “Local Difference Probability (LDP)-Based Environment Adaptive Algorithm for Unmanned Ground Vehicle”, IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 3, p. 282–292, Sep. 2006.
S. Nedevschi, F. Oniga, R. Danescu, T. Graf, and R. Schmidt, “Increased accuracy stereo approach for 3D lane detection”, in IEEE Intelligent Vehicles Symposium, Proceedings, Meguro-Ku, Tokyo, 2006, p. 42–49.
T. Marita, F. Oniga, S. Nedevschi, T. Graf, and R. Schmidt, “Camera calibration method for far range stereovision sensors used in vehicles”, in IEEE Intelligent Vehicles Symposium, Proceedings, Meguro-Ku, Tokyo, 2006, p. 356–363.
S. Nedevschi, C. Vancea, T. Marita, and T. Graf, “On-line calibration method for stereovision systems used in vehicle applications”, in 2006 IEEE Intelligent Transportation Systems Conference, Toronto, Canada, 17-20 September,2006, p. 957–962.
R. Danescu, S. Sobol, S. Nedevschi, and T. Graf, “Stereovision-based side lane and guardrail detection”, in 2006 IEEE Intelligent Transportation Systems Conference, Toronto, Canada, 17-20 September, 2006, p. 1156–1161.
S. Nedevschi, S. Bota, T. Marita, F. Oniga, and C. Pocol, “Real-Time 3D Environment Reconstruction Using High Precision Trinocular Stereovision”, in 2006 IEEE International Conference on Automation, Quality&Testing, Robotics , Cluj-Napoca, Romania, 2006, p. 333 - 338.
R. Badea, M. Lupşor, H. Ştefǎnescu, S. Nedevschi, D. Mitrea, A. Şerban, and T. Vasile, “Ultrasonography contribution to the detection and characterization of hepatic restructuring: Is the "virtual biopsy" taken into consideration?”, Journal of Gastrointestinal and Liver Diseases, vol. 15, no. 2, p. 189–194, 2006.
P. Jeong and S. Nedevschi, “Robust classification based on prior of local difference probability for the unmanned ground vehicles”, in VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications, Setubal, 2006, vol. 1, p. 445–450.
C. Vancea, S. Nedevschi, M. Negru, and S. Mathe, “Real-time FPGA-based image rectification system”, in VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications, Setubal, 2006, vol. 1, p. 93–100.
Pangyu Jeong and S. Nedevschi, “Efficient and robust classification method using combined feature vector for lane detection”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 4, p. 528–537, Apr. 2005.
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Sobol, T. Graf, and R. Schmidt, “Driving environment perception using stereovision”, in IEEE Intelligent Vehicles Symposium, Proceedings, Las Vegas, NV, 2005, vol. 2005, p. 331–336.
C. Homorodean, D. Olinic, S. Nedevschi, and N. Olinic, “Templates implementation for structured DICOM diagnosis reporting in echocardiography”, in Computers in Cardiology, Lyon, 2005, vol. 32, p. 379–382.
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, “Moving Camera Rotation Estimation Using Horizon Line Features’ Motion Field”, in Proceedings of 6-th International Carpathian Control Conference, 24-26 May 2005, Lilafured-Miskolc, Hungary, pp. 449-454.
P. Jeong and S. Nedevschi, “Efficient Classification Method for Autonomous Driving Application”, in Image Analysis and Recognition: International Conference, ICIAR 2004, Porto, Portugal, September 29-October 1, 2004, Proceedings, Part II, 2004, vol. 3212, p. 228–235.
S. Nedevschi, R. Schmidt, T. Graf, R. Danescu, D. Frentiu, T. Marita, F. Oniga, and C. Pocol, “3D lane detection system based on stereovision”, in 2004 IEEE Intelligent Transportation Systems Conference, 2004, p. 161-166.
S Nedevschi, F Rusu, I Popa, A Smeu, D Olinic, C Homorodean, “Structured Reporting of Echocardiography Images in a DICOM Environment”, Proceedings of Computers in Cardiology 2004, Chicago September, 2004, vol. 31, p. 685-688.
D. Olinic, C. Homorodean, S. Nedevschi, F. Rusu, A. Smeu, I. Popa, A. Vancea, and N. Olinic, “A proposal for structured diagnosis reporting in echocardiography, using a DICOM compliant environment”, in Computers in Cardiology, 2004, vol. 31, p. 601-604.
P. Jeong and S. Nedevschi, “Efficient classification method for autonomous driving application”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3211, p. 228-235, 2004.
S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T. Graf, “High accuracy stereo vision system for far distance obstacle detection”, in IEEE Intelligent Vehicles Symposium(IV’04), 2004, p. 292-297.
S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga, and C. Pocol, “Spatial grouping of 3D points from multiple stereovision sensors”, in Conference Proceeding - IEEE International Conference on Networking, Sensing and Control, Taipei, 2004, vol. 2, p. 874–879.
S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T. Graf, “Stereovision Approach for Obstacle Detection on Non-Planar Roads”, in ICINCO 2004, Proceedings of the First International Conference on Informatics in Control, Automation and Robotics, Setúbal, Portugal, August 25-28, 2004, 2004, p. 11–18.
P. Jeong and S. Nedevschi, “Intelligent road detection based on local averaging classifier in real-time environments”, in 12th International Conference on Image Analysis and Processing (ICIAP 2003), 17-19 September 2003, Mantova, Italy, 2003, p. 245–249.
S. Nedevschi, D. Olinic, R. Popovici, F. Rusu, A. Smeu, and C. Homorodean, “DICOM compliant environment for structured reporting in echocardiography”, in Computers in Cardiology, Thessaloniki Khalkidhiki, 2003, vol. 30, p. 29–32.
S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga, and C. Pocol, “Real-Time Extraction of 3D Dynamic Environment Description Using Multiple Stereovision Sensors”, in Proceedings of International Conference on Computer, Communication and Control Technologies CCCT'03, Orlando, Florida, USA, 2003, vol. 3, p. 520-524.
S. Nedevschi, T. Marita, M. Vaida, R. Danescu, D. Frentiu, F. Oniga, C. Pocol, and D. Moga, “Camera Calibration Method for Stereo Measurements”, Journal of Control Engineering and Applied , vol. 4, no. 2, p. 21-28, 2002.
S. Nedevschi, T. Marita, and D. Puiu, “Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives”, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), 26-28 September 2001, Palermo, Italy, 2001, p. 156–161.
S. Nedevschi, D. Olinic, Z. Gyöngyi, S. Nedevschi Jr., and R. Teodorescu, “Feature based retrieval of echocardiographic images using DICOM structured reporting”, in Computers in Cardiology, Rotterdam, 2001, p. 679–682.
M. Imecs, P. Bikfalvi, S. Nedevschi, and J. Vásárhelyi, “Implementation of a Configurable Controller for an AC Drive Control: A Case Study”, in 8th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2000), 17-19 April 2000, Napa Valley, CA, Proceedings, 2000, p. 323–324.
S. Nedevschi, D. Olinic, Z. Gal, A. Leuca, C. Frentiu, A. Becea, and N. Olinic, “Retrieval of DICOM echocardiographic images using the diagnosis and biological structure features as search keywords”, in Computers in Cardiology, Cambridge, MA, USA, 2000, p. 283–286.
D. Olinic, S. Nedevschi, C. Feier, Z. Gal, and N. Olinic, “Structured medical text field of DICOM 3.0 transesophageal echocardiography image file for database implementation”, in Computers in Cardiology, 1999, p. 443-446.
S. Nedevschi, “A robust and effective method for bidimensional recognition of 2D and 3D objects from intensity images”, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1994, September 12 - 16, 1994, Munich, Germany, 1994, p. 2044–2051.
D. Olinic, F. Tremel, P. Defaye, N. Olinic, S. Nedevschi, R. Vlaicu, and B. Denis, “Quantification of fragmented ventricular depolarizations over the entire QRS complex for improving the identification of patients with ventricular tachycardia”, in Computers in Cardiology, 1993, p. 69-72.
D. Olinic, S. Nedevschi, D. Negrescu, A. Jascau, R. Vlaicu, and N. Olinic, “Averaged unfiltered electrocardiograms in the investigation of late potentials”, in Computers in Cardiology, 1992, p. 405-408.

References: V. 

V. 

V. 

V. 

V. 
 V. 
 V. 
 V.