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Proceedings Paper

Three-camera stereo vision for intelligent transportation systems
Author(s): Jason Bergendahl; Ichiro Masaki; Berthold K. P. Horn
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Paper Abstract

A major obstacle in the application of stereo vision to intelligent transportation system is high computational cost. In this paper, a PC based three-camera stereo vision system constructed with off-the-shelf components is described. The system serves as a tool for developing and testing robust algorithms which approach real-time performance. We present an edge based, subpixel stereo algorithm which is adapted to permit accurate distance measurements to objects in the field of view using a compact camera assembly. Once computed, the 3D scene information may be directly applied to a number of in-vehicle applications, such as adaptive cruise control, obstacle detection, and lane tracking. Moreover, since the largest computational costs is incurred in generating the 3D scene information, multiple applications that leverage this information can be implemented in a single system with minimal cost. On-road applications, such as vehicle counting and incident detection, are also possible. Preliminary in-vehicle road trial results are presented.

Paper Details

Date Published: 17 February 1997
PDF: 10 pages
Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); doi: 10.1117/12.267161
Show Author Affiliations
Jason Bergendahl, Massachusetts Institute of Technology (United States)
Ichiro Masaki, Massachusetts Institute of Technology (United States)
Berthold K. P. Horn, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2902:
Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS
Alan C. Chachich; Marten J. de Vries, Editor(s)

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