DocumentCode :
2331082
Title :
Navigating an articulated vehicle and reversing with a trailer
Author :
Larsson, Ulf ; Zell, Caj ; Hyyppa, Kalevi ; Wernersson, Åke
Author_Institution :
Lulea Univ., Sweden
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
2398
Abstract :
This paper describes two related tests; to navigate an articulated lawn mower and to reverse a mobile robot with a trailer. In both cases the vehicles are to follow a prespecified trajectory. The navigation principal is based on measured directions to several identical beacons, consisting of strips of reflective tapes. The angular sensor is a rotating laser for the illumination of the beacons and a highly sensitive electro-optical receiver for detecting the directions to the beacons. A Kalman filter is used to combine the measurements from the odometers with the detected angles to the known position of the beacons. To measure the angle between the robot and the trailer the same laser was used. This was done by placing two reflective beacons on the trailer. The repeatability was within 2 centimetre at low speed. The navigation of these two different types of vehicles turns out to be, essentially, the same problem. The sensitivities are different. Emphasis is on robust state estimation
Keywords :
Kalman filters; angular measurement; automatic guided vehicles; computerised navigation; laser ranging; mobile robots; state estimation; CALMAN; Kalman filter; Lulea Turbo Turtle; angular sensor; articulated lawn mower; articulated vehicle; beacons; electro-optical receiver; mobile robot; navigation principal; odometers; prespecified trajectory; reflective tapes; repeatability; reversing; robust state estimation; rotating laser; trailer; Electrooptic devices; Goniometers; Lasers and electrooptics; Lighting; Mobile robots; Navigation; Position measurement; Strips; Testing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351152
Filename :
351152
Link To Document :
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