Paper
27 December 1995 Impact of adverse weather on sensors for vehicle collision avoidance systems
Jeffrey H. Everson, Edward W. Kopala, Laurence E. Lazofson, Howard C. Choe, Dean A. Pomerleau
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey H. Everson, Edward W. Kopala, Laurence E. Lazofson, Howard C. Choe, and Dean A. Pomerleau "Impact of adverse weather on sensors for vehicle collision avoidance systems", Proc. SPIE 2592, Collision Avoidance and Automated Traffic Management Sensors, (27 December 1995); https://doi.org/10.1117/12.228914
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KEYWORDS
Visibility

Roads

Sensors

Image processing

Cameras

Neural networks

Collision avoidance

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