Title :
Rapidly adapting machine vision for automated vehicle steering
Author :
Pomerleau, Dean ; Jochem, Todd
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
4/1/1996 12:00:00 AM
Abstract :
The Ralph vision system helps automobile drivers steer, by sampling an image, assessing the road curvature, and determining the lateral offset of the vehicle relative to the lane center. Ralph has performed well under extensive tests, including a coast-to-coast, 2,850-mile drive
Keywords :
adaptive signal processing; adaptive systems; automated highways; automobiles; computer vision; expert systems; traffic engineering computing; Ralph vision system; automated vehicle steering; automobile drivers; image sampling; lane center; lateral vehicle offset; rapidly adapting machine vision; road curvature assessment; Artificial neural networks; Humans; Image sampling; Layout; Machine learning; Machine vision; Remotely operated vehicles; Road vehicles; Testing; Vehicle driving;
Journal_Title :
IEEE Expert
