For automated vehicle highway systems, a reliable sensor which measures vehicle position and road curvature is necessary. This paper describes an integrated sensing system which consists of a computer vision and magnetic field sensors with inductive cable. Especially, a new image processing technique based ona template matching algorithm is developed. Not only vehicle position measured by magnetic field sensors but also knowledge of road structures is taken into account to detect lane boundaries. Road curvature can be estimated accurately from the detected lane boundaries and vehicle yaw angle. Experiments were carried out and provided encouraging results.
Automated vehicle system using both a computer vision and magnetic field sensors
Automatisches Fahrzeugleitsystem mit Bildverarbeitung und Magnetfeldsensor
Intelligent Vehicles, Symposium, 1993 ; 157-162
1993
6 Seiten, 13 Bilder, 8 Quellen
Aufsatz (Konferenz)
Englisch
Automated Vehicle System using Both a Computer Vision and Magnetic Field Sensors
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