Title :
Sensor and navigation data fusion for an autonomous vehicle
Author :
Becker, Jan C. ; Simon, Andreas
Author_Institution :
Inst. of Control Eng., Tech. Univ. Braunschweig, Germany
Abstract :
Describes an approach for different data fusion tasks in an autonomous vehicle. One fusion system is designed for the fusion of data from the object-detecting sensors of the vehicle in order to increase the accuracy and to reduce the large amount of sensor data. Another system is concerned with the fusion of navigation data to obtain accurate information on the vehicle state. It is based on information provided by the ego-position sensors of the vehicle as well as on the object-detecting sensors. The output of both fusion systems is used by the vehicle guidance system to determine the desired path of motion for the autonomous vehicle
Keywords :
Kalman filters; image sensors; navigation; object detection; optical scanners; path planning; radar; road vehicles; robots; sensor fusion; state estimation; stereo image processing; velocity control; autonomous vehicle; data fusion; ego-position sensors; navigation data; object-detecting sensors; sensor data; vehicle guidance system; Control systems; Laser radar; Mobile robots; Navigation; Remotely operated vehicles; Road vehicles; Sensor fusion; Sensor systems; Stereo vision; Vehicle driving;
Conference_Titel :
Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-6363-9
DOI :
10.1109/IVS.2000.898335