Paper
1 February 1991 Using real-time stereopsis for mobile robot control
R. Peter Bonasso, H. Keith Nishihara
Author Affiliations +
Proceedings Volume 1387, Cooperative Intelligent Robotics in Space; (1991) https://doi.org/10.1117/12.25429
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
This paper describes on-going work in using range and motion data generated at video-frame rates as the basis for long-range perception in a mobile robot. A current approach in the artificial intelligence community to achieve timecritical perception for situated reasoning is to use low-level perception for motor reflex-like activity and higher-level but more computationally intense perception for path planning reconnaissance and retrieval activities. Typically inclinometers and a compass or an infra-red beacon system provide stability and orientation maintenance and ultrasonic or infra-red sensors serve as proximity detectors for obstacle avoidance. For distant ranging and area occupancy determination active imaging systems such as laser scanners can be prohibitivtly expensive and heretofore passive systems typically performed more slowly than the cycle time of the control system causing the robot to halt periodically along its way. However a recent stereo system developed by Nishihara known as PRISM (Practical Real-time Imaging Stereo Matcher) matches stereo pairs using a sign-correlation technique that gives range and motion at video frame rates. We are integrating this technique with constant-time control software for distant ranging and object detection at a speed that is comparable with the cycle-times of the low-level sensors. Possibilities for a variety of uses in a leader-follower mobile robot situation are discussed.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Peter Bonasso and H. Keith Nishihara "Using real-time stereopsis for mobile robot control", Proc. SPIE 1387, Cooperative Intelligent Robotics in Space, (1 February 1991); https://doi.org/10.1117/12.25429
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Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Head

Imaging systems

Mobile robots

Optical filters

Sensors

Optical correlators

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