DocumentCode :
2689289
Title :
Consistent outdoor vehicle localization by bounded-error state estimation
Author :
Lambert, Alain ; Gruyer, Dominique ; Vincke, Bastien ; Seignez, Emmanuel
Author_Institution :
Centre d´´Orsay, Univ. of Paris Sud-XI, Paris, France
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
1211
Lastpage :
1216
Abstract :
Localization is a part of many automotive applications where safety is of crucial importance. We think that the best way to guarantee the safety in these applications is to guarantee the results of their embedded localization algorithms. Unfortunately localization of vehicles is mostly solved by Bayesian methods which (due to their structure) can only guarantee their results in a probabilistic way. Interval analysis allows an alternative approach with bounded-error state estimation. Such an approach provides a bounded set of configurations that is guaranteed to surround the actual vehicle configuration. We have validated the bounded-error state estimation with an outdoor vehicle equipped with odometers, a GPS receiver and a gyro. With the experimental results we compare the bounded-error state estimation with the particle filter localization in terms of consistency and computation time.
Keywords :
Bayes methods; Global Positioning System; distance measurement; road safety; road vehicles; state estimation; Bayesian methods; GPS receiver; automotive applications; bounded-error state estimation; embedded localization algorithms; gyro; odometers; outdoor vehicle localization; safety; Automotive applications; Filtering; Intelligent robots; Kalman filters; Mobile robots; Navigation; Particle filters; State estimation; USA Councils; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354673
Filename :
5354673
Link To Document :
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