Near Real-time LIDAR Processing and Exploitation Algorithms

Rincon Research Corporation (RRC) proposes to continue the development of near real-time automated feature extraction (AFE) and exploitation algorithms for LiDAR datasets. We will continue to develop and improve upon the results of our research conducted on the Phase I SBIR in near real-time automated feature extraction from point-cloud data and will add additional capabilities to perform high-confidence vehicle detection and identification. The project will also focus on the development of an integrated processing architecture for near real-time scene classification and object detection, both from airborne and ground-based LiDAR point clouds. RRC will conduct a thorough performance assessment that will provide the government with accurate benchmarking and metrics for algorithm performance. Additionally, the project will add capability and packaging to our unified processing engine to position it as a future commercial product to be used by the government and marketed to industry.