IROS 2017poster0 citations

Tire force estimation of unmanned ground vehicles on off-road terrains for navigation decisions

Graeme Neff Wilson, Alejandro Ramirez-Serrano, Qiao Sun

Abstract

This paper proposes a method of tire force estimation designed for use in navigation decision making for Unmanned Ground Vehicles (UGVs) operating on off-road terrains. This method (called the Centroid Method) uses a 3D point cloud representation of the terrain to determine tire-ground interaction, and a linear spring to determine the corresponding tire forces. Simulation results of tire force estimation of the Centroid Method are compared against the experimentally validated MF-Swift model, including on a fractal terrain surface which simulates a rough off-road terrain. The results show that the Centroid Method performs well for longitudinal and vertical tire force estimation especially for lower frequencies up to about 8-21Hz. Although the Centroid Method does not provide the same detail as the advanced tire models such as MF-Swift, it is significantly less complex and simpler to implement for enabling efficient on-board UGV navigation decision making.

BibTeX
@inproceedings{iros2017_tireforceestimat,
  title = {Tire force estimation of unmanned ground vehicles on off-road terrains for navigation decisions},
  author = {Graeme Neff Wilson and Alejandro Ramirez-Serrano and Qiao Sun},
  booktitle = {IROS 2017},
  year = {2017}
}
Tire force estimation of unmanned ground vehicles on off-road terrains for navigation decisions · IROS 2017