Extending Tactical Range for Bomb Disposal using Autonomous Ground Robots
Stouch, D., Ost, A., and Moore, T. Proceedings of the 82nd Military Operations Research Society (MORS) Symposium, Chemical, Biological, Radiological, Nuclear and Advanced Explosives (CBRNE) Defense working group, Alexandria, VA (June 2014) Unmanned robotic systems are a vital component of today’s military operations. They are used for operational maneuver (e.g., reconnaissance and IED defeat), maneuver […]
Rapid Aerial Assessment of Post Incident Damage for Enhanced Situational Awareness
Stouch, D. Proceedings of the 2014 Center for Rebuilding Sustainable Communities after Disasters (CRSCAD) International Conference on Disaster Mitigation, Preparedness, Response, and Sustainable Reconstruction: Science and Technology Applications to Mitigate Natural Hazards, Boston, MA (May 2014) Natural disasters such as hurricanes, floods, and forest fires have the potential to create great loss of life and property. […]
Robust Tactical Communications Relay using Visual Object Detection on an Autonomous Mobile Robot
Stouch, D., Ost, A., Moore, T., and Monnier, C. Proceedings of the International Advanced Robotics Programme’s 7th International Workshop on Robotics for Risky Environments – Extreme Robotics (IARP RISE-ER 2013), Saint Petersburg, Russia, (October 2013) We are prototyping a robust system to autonomously maneuver a small mobile ground relay robot to track and follow a […]
Single Camera Stereo for Mobile Robot Surveillance
McBride, J., Snorrason, M., Goodsell, T., Eaton, R., and Stevens, M. R. CVPR Workshop on Advanced 3D Imaging for Safety and Security, San Diego, CA (June, 2005) Mobile robot designers frequently look to computer vision to solve navigation, obstacle avoidance, and object detection problems such as those encountered in parking lot surveillance. Stereo reconstruction is […]
Video Surveillance at Night
Stevens, M. R., Pollak, J., Ralph, S., and Snorrason, M. Proceedings SPIE Defense & Security, Orlando, FL (April, 2005) The interpretation of video imagery is the quintessential goal of computer vision. The ability to group moving pixels into regions and then associate those regions with semantic labels has long been studied by the vision community. […]
