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Proceedings Paper

Impact of adverse weather on sensors for vehicle collision avoidance systems
Author(s): Jeffrey H. Everson; Edward W. Kopala; Laurence E. Lazofson; Howard C. Choe; Dean A. Pomerleau
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Paper Abstract

This paper treats the use of in-vehicle imaging sensors to achieve lateral control to avoid single vehicle roadway departure crashes. Since the sensor is expected to function under a variety of weather conditions, it is important to determine the overall performance envelope of the combined sensor/image processing algorithm. Initial roadway imagery was acquired under favorable ambient conditions and subsequently transformed to specified levels of adverse weather by means of software originally developed for military sensor applications. The transformed imagery was utilized to determine the relationship between adverse weather, measured in visibility ranges, versus the ability of the sensor/image processing algorithm to maintain lateral vehicle stability.

Paper Details

Date Published: 27 December 1995
PDF: 6 pages
Proc. SPIE 2592, Collision Avoidance and Automated Traffic Management Sensors, (27 December 1995); doi: 10.1117/12.228914
Show Author Affiliations
Jeffrey H. Everson, Battelle Memorial Institute (United States)
Edward W. Kopala, Battelle Memorial Institute (United States)
Laurence E. Lazofson, Battelle Memorial Institute (United States)
Howard C. Choe, Battelle Memorial Institute (United States)
Dean A. Pomerleau, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 2592:
Collision Avoidance and Automated Traffic Management Sensors
Alan C. Chachich; Marten J. de Vries, Editor(s)

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