Paper
1 March 1991 Comparison of mono- and stereo-camera systems for autonomous vehicle tracking
Nasser Kehtarnavaz, Norman C. Griswold, J. K. Eem
Author Affiliations +
Abstract
When a vision sensor is used to provide the sensory input of an autonomous vehicle, most researchers rely on a monocular camera system. In this paper, we have compared the capabilities and limitations of a monocular camera system with respect to a binocular camera system for the purpose of performing autonomous vehicle tracking. The problem of vehicle tracking includes automatic speed and steering control of an unmanned vehicle following the motion of a lead vehicle. We have indicted how the relative position of a lead vehicle is computed visually and investigated the quantization, tilt angle, pan angle, and road slope errors associated with a monocular and a binocular vision sensor. We have shown that a binocular camera system provides a more robust sensing mechanism when operating under realistic outdoor conditions.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nasser Kehtarnavaz, Norman C. Griswold, and J. K. Eem "Comparison of mono- and stereo-camera systems for autonomous vehicle tracking", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45489
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Lead

Imaging systems

Roads

Sensors

Fourier transforms

Quantization

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