Title :
Parking a vision-guided automobile vehicle
Author :
Driss, A. ; Rodrigues, V. ; Cohen, P.
Author_Institution :
Perception & Robotics Lab., Montreal Univ., Que., Canada
Abstract :
This paper presents a neural-network solution to the problem of parking of a vision-guided automobile vehicle. Using training experiments with 3-D parking profiles extracted from a sequence of images, the vehicle learns and generalizes its behavior, when recognizing free parking slots and manoeuvering inside a parking slot. Using a modular set of functions, implemented by neural networks trained in simulated environments, the vehicle accomplishes parking tasks in various parking situations
Keywords :
automobiles; computer vision; generalisation (artificial intelligence); image sequences; intelligent control; learning (artificial intelligence); neural nets; neurocontrollers; 3D parking profiles; generalisation; image sequence; learning; neural control; neural network; vision-guided automobile vehicle; Image sequence analysis; Intelligent control; Learning systems; Machine vision; Neural networks; Neurocontrollers; Road vehicles;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381269
