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.
Proceedings Title: Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009
Conference Dates: September 21-23, 2009
Conference Location: Gaithersburg, MD
Pub Type: Conferences
Unmanned ground vehicle, experimental design, ground truth, pedestrian tracking, metrics, perception, performance evaluation