Terrain-based road vehicle localisation using particle filters

被引:25
作者
Dean, A. [2 ]
Martini, R. [3 ]
Brennan, S. [1 ]
机构
[1] Penn State Univ, Dept Mech Engn, University Pk, PA 16802 USA
[2] Brigham Young Univ Idaho, Dept Mech Engn, Rexburg, ID 83460 USA
[3] GM Powertrain R&D, Milford, MI 48380 USA
关键词
estimation; global positioning system; Kalman filtering; particle filters; position measurement; road vehicle location monitoring; road vehicles; terrain mapping; terrain-based localisation; NAVIGATION;
D O I
10.1080/00423114.2010.493218
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This work develops a particle filter algorithm to localise a vehicle in the direction of travel without the use of GPS. The inputs to the algorithm include a terrain map of road grade, pitch measurements from an in-vehicle pitch sensor, and wheel odometry. Simulations and experiments at The Thomas D. Larson 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 localise a vehicle with 1m accuracy or better. Experiments over 5 km along Highway 322 in State College, Pennsylvania, were also used to demonstrate the algorithm.
引用
收藏
页码:1209 / 1223
页数:15
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