Digital Signal Processing for In-Vehicle Systems and Safety [electronic resource] /
Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and SafetyCorporate Author
Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety(4th :2009 :Dallas, Tex.)
Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety
Hansen, John H.L.editor.
Boyraz, Pinar.editor.
Takeda, Kazuya.editor.
Abut, Hüseyin.editor.
Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features: Recent advances in Smart-Car technology – vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications Digital Signal Processing for In-Vehicle Systems and Safety  is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.
Description based upon print version of record.
Includes bibliographical references and index.
Part A: Driver Behavior and Monitoring Systems -- 1: Towards Multi-modal Driver's Stress Detection -- 2: Driver Emotion and Profiling from Speech -- 3: Driving Status Identification from Driving Behavior Signals -- 4: Multi-layer Modeling of Driving Behavior based on Hierarchical Mode Segmentation -- Part B: In-Vehicle Interactive/Speech Systems -- 5: Evaluation of In-Car Communication Systems -- 6: Wideband Hands-Free in Cars: New Challenges for System Design and Testing -- 7: A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP) -- 8: Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges -- 9: In-Vehicle Speech and Noise Corpora -- 10: A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition based on Speech Dialogue System Interaction -- 11: Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment -- 12: Dual-Channel Speech Enhancement using a Filterbank for Hands-free Communication -- 13: Optimal Multi-Microphone Speech Enhancement in Cars -- Part C: Vehicle Dynamics, Vision, Active Safety and Corpora -- 14: Generating Reference Views of Traffic Intersection for Safe Driving Assistance -- 15: Computer Vision Systems for "Context Aware" Active Vehicle Safety and Driver Assistance -- 16: Integrated Pedestrian Detection and Localization using Stereo Cameras -- 17: An Examination of Overtaking Judgments Based on Limitations in the Human Perceptual System: Implications for the Design of Driver-Assistance Systems -- 18: Video-Audio Based Signal Processing for Assessing Driver-Based Emotion Status -- 19: A Stochastic Approach for Modeling Lane-Change Trajectories -- 20: CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety. Part D: Transportation, Vehicle Communications and Next Generation Vehicle Systems -- 21: Adaptive Error Resilient Mechanisms for Real-Time Multimedia Streaming over Inter-Vehicle Communication Networks -- 22: MATISSE: A Large Scale Multi-Agent System for Simulating Traffic Safety Scenarios.
Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features: Recent advances in Smart-Car technology – vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications Digital Signal Processing for In-Vehicle Systems and Safety  is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.
Signal processing.
Image processing.
Speech processing systems.
Automotive engineering.
Control engineering.
Signal, Image and Speech Processing.
Automotive Engineering.
Control and Systems Theory.