Title :
Visibility estimation from a moving vehicle using the RALPH vision system
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Reduced visibility is a common casual factor in many traffic accidents. This paper describes a forward looking vision system which simultaneously tracks the lane and estimates visibility. The system estimates the visibility by measuring the attenuation of contrast between consistent road features at various distances ahead of the vehicle. Results of experiments on simulated images, as well as live vehicle tests are presented
Keywords :
computer vision; feature extraction; optical tracking; road vehicles; visibility; CCD camera; RALHP vision system; computer vision; contrast; feature extraction; forward looking vision system; lane tracking; lateral control; moving vehicle; road vehicles; visibility estimation; Atmosphere; Atmospheric measurements; Attenuation measurement; Machine vision; Marine vehicles; Particle measurements; Road accidents; Road vehicles; Snow; Vehicle driving;
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
DOI :
10.1109/ITSC.1997.660594
