Paper
6 January 1995 Measurement of vehicle trajectories using 3D laser radar
R. Kent Gilbert, Garth L. Gerber, William F. Pont, Michael F. Reiley, Robert D. De Sonia
Author Affiliations +
Proceedings Volume 2344, Intelligent Vehicle Highway Systems; (1995) https://doi.org/10.1117/12.198933
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
A measurement system using 3-D imaging laser radars and real-time image processing to quantitatively measure and characterize inter-vehicular motion (i.e., the vehicle motion environment, VME) in real-world traffic settings is being developed by the Environmental Research Institute of Michigan (ERIM) under a subcontract with the University of Michigan Transportation Research Institute (UMTRI), who has a cooperative agreement with the National Highway Traffic Safety Administration. The system will be deployed at the roadside to acquire data on vehicle centroid and heading trajectories that will be used to study vehicle dynamics and accident causation. This effort is a direct response to the recognized need for a fundamental understanding of the vehicle motion environment to aid in the development of automotive active safety technologies for Intelligent Vehicle Highway System (IVHS) applications. This paper presents overviews of the national initiative for crash avoidance research, the role of the VME Program and the vehicle motion environment measurement system (i.e., VME-MS). Simulation studies were conducted in support of the image and data processing algorithm development. The motivation for and the implementation, capabilities and results of these simulation studies are presented.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Kent Gilbert, Garth L. Gerber, William F. Pont, Michael F. Reiley, and Robert D. De Sonia "Measurement of vehicle trajectories using 3D laser radar", Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); https://doi.org/10.1117/12.198933
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KEYWORDS
Sensors

LIDAR

Image sensors

Intelligence systems

Computer simulations

Image processing

3D image processing

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