Vision-based intelligent control of transportation systems

Charles A. Richards, Christopher E. Smith, Nikolaos P. Papanikolopoulos

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

In response to the overcrowding of transportation systems, there has been an increase in the emphasis place upon Intelligent Vehicle/Highway Systems (IVHS). Whether the application is keeping a safe distance between vehicles on highways or allowing a pedestrian to safely cross a street, environmental sensing and control play a crucial role in IVHS applications. In this paper we present robust visual detection and tracking techniques for IVHS applications, where computer vision may be the only sensor used or a part of a larger, multi-sensor system. We have selected the application of pedestrian detection and tracking to demonstrate that the Controlled Active Vision framework can provide precisely the type of information required to effectively manage traffic situations.

Original languageEnglish (US)
Pages519-524
Number of pages6
StatePublished - Jan 1 1995
EventProceedings of the 10th IEEE International Symposium on Intelligent Control - Monterey, CA, USA
Duration: Aug 27 1995Aug 29 1995

Other

OtherProceedings of the 10th IEEE International Symposium on Intelligent Control
CityMonterey, CA, USA
Period8/27/958/29/95

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Richards, C. A., Smith, C. E., & Papanikolopoulos, N. P. (1995). Vision-based intelligent control of transportation systems. 519-524. Paper presented at Proceedings of the 10th IEEE International Symposium on Intelligent Control, Monterey, CA, USA, .