DocumentCode
2380462
Title
Terrain-based road vehicle localization using particle filters
Author
Dean, Adam J. ; Martini, Ryan D. ; Brennan, Sean N.
Author_Institution
Dept. of Mech. Eng., Penn State Univ., University Park, PA
fYear
2008
fDate
11-13 June 2008
Firstpage
236
Lastpage
241
Abstract
This work develops a real-time algorithm to localize a vehicle in the direction of travel without the use of GPS. The inputs to the algorithm include a terrain map of road grade and pitch measurements from an in-vehicle pitch sensor. Localization is achieved in real-time using a particle filter described in detail in this work. Simulations and experiments at The Pennsylvania Transportation Institute test track are used to demonstrate the algorithm, observe the speed of convergence, and to determine key parameters for practical implementation. The results indicate that the method can quickly localize a vehicle with one-meter accuracy or better.
Keywords
geography; object detection; particle filtering (numerical methods); target tracking; traffic engineering computing; GPS; Pennsylvania Transportation Institute; in-vehicle pitch sensor; particle filters; pitch measurement; road grade; terrain map; terrain-based road vehicle localization; travel direction; Filtering; Frequency; Global Positioning System; Low pass filters; Particle filters; Road vehicles; Testing; Transportation; Vehicle driving; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586497
Filename
4586497
Link To Document