Search RINCON RESEARCH CORPORATION CORE TECHNOLOGIES Rincon Research Corporation creates advanced digital signal processing solutions and technologies for the military and intelligence communities. Our expertise can address any area of interest to rapidly develop technology from concept to operation to transition. RF SIGNAL ANALYSIS HIGH-PERFORMANCE COMPUTING HIGH-PERFORMANCE ELECTRONICS DEVELOPMENT SPACE SYSTEMS LIDAR TECHNOLOGY The ability to generate and analyze precise 3-D point cloud representations of urban canyons, densely foliated environments, and littoral regions is of great value across a wide variety of applications in defense, navigation, mapping, search and rescue, and many others. Rincon Research Corporation realizes that there is immense value in coupling these measurements with the ability to autonomously detect man-made shapes and structures and provide that 3-D data to end users in near real time instead of hours or even days of manual analysis. Rincon Research Corporation has established a solution to this problem through the development of automated feature extraction (AFE) algorithms for airborne LIDAR systems. This solution is designed to run in near-real time, provide high-confidence object detection and identification, and can support virtually all types of LIDAR sensor systems. Our Automated Lidar-processing Software for Target And object Recognition (ALSTAR) technology provides near real time processing and ATR capability on a wide range of data sets: Segmentation and classification: Ground (bare earth), Foliage, Void (within foliage), Planar surfaces, Linear segments, Curved segments/surfaces (if necessary), vehicles (modeled objects) Higher level identification: Trees / bushes, buildings, vehicles, walls power lines, etc. Human Activity Detection Vehicle Identification With more than 13 years supporting DARPA, industry partners, and other government agencies, Rincon Research Corporation has extensive expertise in virtually all facets of LiDAR data processing, including: Point cloud formation Registration Automated feature extraction Automatic target identification Near real-time processing / GPU optimization AUTOMATED FEATURE EXTRACTION Lines of Communication Identification – Example of a near real-time automated identification of power lines located in a heavily foliated region using our ALSTAR processing engine. NEAR REAL-TIME AFE/ATR AFE processing of a Single-Photon LIDAR sensor collection – RRC's ALSTAR processing engine simultaneously processed all four AFE algorithms (ground segmentation, foliage classification, object classification, and void detection) in 8 seconds processing time on i7-based COTS PC. HIGH-DENSITY POINT CLOUD PROCESSING Example of automated feature extraction (AFE) on complex, high-density point clouds in near real time. For more information, contact the Rincon Research Corporation LiDAR team at LiDAR@rincon.com. ABOUT RINCON CORE TECHNOLOGIES PRODUCTS SUPPORT CAREERS AFFILIATIONS CONTACT TWITTER FACEBOOK LINKEDIN ALL RIGHTS RESERVED HTTPS://WWW.RINCON.COM © 2001-2021 Legal Employee Links