Paper
30 April 2009 A vision-based robotic follower vehicle
Jared L. Giesbrecht, Hien K. Goi, Timothy D. Barfoot, Bruce A. Francis
Author Affiliations +
Abstract
This paper presents the development of a vision-based robotic follower system with the eventual goal of autonomous convoying. The follower vehicle, trained at run-time, tracks an arbitrary lead vehicle and estimates the leader's position from the sequence of video images. Pan, tilt and zoom keep the leader in the follower's field of view as it drives the leader's path. The system was demonstrated following vehicles in an on-road scenario, as well as dismounted human leaders off-road.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jared L. Giesbrecht, Hien K. Goi, Timothy D. Barfoot, and Bruce A. Francis "A vision-based robotic follower vehicle", Proc. SPIE 7332, Unmanned Systems Technology XI, 73321O (30 April 2009); https://doi.org/10.1117/12.823843
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CITATIONS
Cited by 21 scholarly publications.
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KEYWORDS
Cameras

Detection and tracking algorithms

Zoom lenses

Robotics

Visualization

Error analysis

Control systems

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