DocumentCode :
3228280
Title :
Data fusion of four ABS sensors and GPS for an enhanced localization of car-like vehicles
Author :
Bonnifait, Philippe ; Bouron, Pascal ; Crubille, Paul ; Meizel, Dominique
Author_Institution :
Univ. de Technol. de Compiegne, France
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1597
Abstract :
A localization system using GPS, ABS sensors and a driving wheel encoder is described and tested through real experiments. An odometric technique using the four ABS sensors is presented. Due to the redundancy of the measurements, the precision is better than the one of differential odometry using the rear wheels only. The sampling is performed when necessary and when a GPS measurement is performed. This implies a noticeable reduction of the GPS latency, simplifying thus the data fusion process and improving the quality of its results.
Keywords :
Global Positioning System; Kalman filters; distance measurement; filtering theory; mobile robots; path planning; sensor fusion; state estimation; ABS sensors; GPS; car-like vehicles; data fusion process; driving wheel encoder; enhanced localization; odometric technique; Delay; Global Positioning System; Performance evaluation; Sampling methods; Sensor fusion; Sensor phenomena and characterization; Sensor systems; System testing; Vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-6576-3
Type :
conf
DOI :
10.1109/ROBOT.2001.932839
Filename :
932839
Link To Document :
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