Abstract

Unmanned ground vehicle (UGV) technology can be used in a number of ways to assist in counter-terrorism activities. Robots can be employed for a host of terrorism deterrence and detection applications. As reported in last year's Aerosense conference, the U.S. Army Tank Automotive Research, Development and Engineering Center (TARDEC) and Utah State University (USU) have developed a tele-operated robot called ODIS (Omnidirectional Inspection System) that is particularly effective in performing under-vehicle inspections at security checkpoints. ODIS' continuing development for this task is heavily influenced by feedback received from soldiers and civilian law enforcement personnel using ODIS-prototypes in an operational environment. Our goal is to convince civilian law enforcement and military police to replace the traditional "mirror on a stick" system of looking under cars for bombs and contraband with ODIS. This paper reports our efforts in the past one year in terms of optimizing ODIS for the visual inspection task. Of particular concern is the design of the vision system. This paper documents details on the various issues relating to ODIS' vision system - sensor, lighting, image processing, and display.

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