DocumentCode :
3135196
Title :
Image processing based control for scaled automated vehicles
Author :
Schlegel, Nikolai ; Kachroo, Pushkin ; Ball, Joseph A. ; Bay, John S.
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
fYear :
1997
fDate :
9-12 Nov 1997
Firstpage :
1022
Lastpage :
1027
Abstract :
This paper presents a way to design a lateral controller for an automated vehicle using information gained through image processing with the control objective being to stay on a desired path. Two possible ways to obtain the information necessary for lateral control by image processing are presented, one based on pixel intensity summation and the other on vanishing point calculations. The paper also describes two algorithms for the actual lateral control, one based on classical control theory and the other on modern H control. The resulting control algorithms were implemented on a scaled autonomous vehicle system
Keywords :
H control; computer vision; position control; road vehicles; H control; autonomous vehicles; image processing; lateral control; pixel intensity summation; position control; road vehicles; scaled autonomous vehicle system; vanishing point; Automatic control; Hardware; Image processing; Microcontrollers; Mobile robots; Pixel; Process control; Remotely operated vehicles; Road vehicles; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
Type :
conf
DOI :
10.1109/ITSC.1997.660614
Filename :
660614
Link To Document :
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