Paper
4 February 2013 CANINE: a robotic mine dog
Brian A. Stancil, Jeffrey Hyams, Jordan Shelley, Kartik Babu, Hernán Badino, Aayush Bansal, Daniel Huber, Parag Batavia
Author Affiliations +
Proceedings Volume 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques; 86620L (2013) https://doi.org/10.1117/12.2010302
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
Neya Systems, LLC competed in the CANINE program sponsored by the U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC) which culminated in a competition held at Fort Benning as part of the 2012 Robotics Rodeo. As part of this program, we developed a robot with the capability to learn and recognize the appearance of target objects, conduct an area search amid distractor objects and obstacles, and relocate the target object in the same way that Mine dogs and Sentry dogs are used within military contexts for exploration and threat detection. Neya teamed with the Robotics Institute at Carnegie Mellon University to develop vision-based solutions for probabilistic target learning and recognition. In addition, we used a Mission Planning and Management System (MPMS) to orchestrate complex search and retrieval tasks using a general set of modular autonomous services relating to robot mobility, perception and grasping.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian A. Stancil, Jeffrey Hyams, Jordan Shelley, Kartik Babu, Hernán Badino, Aayush Bansal, Daniel Huber, and Parag Batavia "CANINE: a robotic mine dog", Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 86620L (4 February 2013); https://doi.org/10.1117/12.2010302
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KEYWORDS
Cameras

Robotics

Detection and tracking algorithms

Target recognition

Optical filters

RGB color model

Target detection

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