Three-camera stereo vision for intelligent transportation systems

Jason Bergendahl; Ichiro Masaki; Berthold K. P. Horn

doi:10.1117/12.267161

17 February 1997 Three-camera stereo vision for intelligent transportation systems

Jason Bergendahl, Ichiro Masaki, Berthold K. P. Horn

Proceedings Volume 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS; (1997) https://doi.org/10.1117/12.267161
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

Jason Bergendahl, Ichiro Masaki, and Berthold K. P. Horn "Three-camera stereo vision for intelligent transportation systems", Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); https://doi.org/10.1117/12.267161

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