Barry Bodt
ABSTRACT
The Army Research Laboratory (ARL) Robotics Collaborative Technology Alliance (CTA) conducted an assessment and evaluation of multiple algorithms for real-time detection of pedestrians in Laser Detection and Ranging (LADAR) and video sensor data taken from a moving platform. The algorithms were developed by Robotics CTA members and then assessed in field experiments jointly conducted by the National Institute of Standards and Technology (NIST) and ARL. A robust, accurate and independent pedestrian tracking system was developed to provide ground truth. The ground truth was used to evaluate the CTA member algorithms for uncertainty and error in their results. A real-time display system was used to provide early detection of errors in data collection.
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- Keni Bernardin, "CLEAR 2007 Evaluation Plan 3D Person Tracking Task,", Classification of Event, Activities and Relationships Evaluation and Workshop (CLEAR) 2007.Google Scholar
- Richard Camden and Barry Bodt, "Safe Operations Experiment Report," ARL-TR-3773, U.S. Army Research Laboratory: Aberdeen Proving Ground, MD, April 2006.Google Scholar
- Elias Rigas, Barry Bodt and Richard Camden, "Detection, tracking, and avoidance of moving objects from a moving autonomous vehicle," Proc. SPIE 6561 (2007).Google Scholar
Index Terms
- Performance measurements for evaluating static and dynamic multiple human detection and tracking systems in unstructured environments
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