This paper deals with the probabilistic 6DoF motion model of a wheeled road vehicle. It allows to correctly model the error introduced by dead reckoning. Furthermore, to stress the importance of an appropriate motion model, i.e., that different models are not equally good, we show that another model, which was previously developed, does not allow a correct representation of the ncertainty, therefore misguiding 3D-6DoF Monte Carlo Localization. We also present some field experiments to demonstrate that our model allow a consistent determination of the 6DoF vehicle pose
Ballardini, A., Furlan, A., Galbiati, A., Matteucci, M., Sacchi, F., Sorrenti, D. (2012). An effective 6DoF motion model for 3D-6DoF Monte Carlo Localization. In Proceedings of the 4th Workshop on Planning, Perception and Navigation for Intelligent Vehicles (pp.121-126).
An effective 6DoF motion model for 3D-6DoF Monte Carlo Localization
BALLARDINI, AUGUSTO LUISPrimo
;FURLAN, AXELSecondo
;SORRENTI, DOMENICO GIORGIOUltimo
2012
Abstract
This paper deals with the probabilistic 6DoF motion model of a wheeled road vehicle. It allows to correctly model the error introduced by dead reckoning. Furthermore, to stress the importance of an appropriate motion model, i.e., that different models are not equally good, we show that another model, which was previously developed, does not allow a correct representation of the ncertainty, therefore misguiding 3D-6DoF Monte Carlo Localization. We also present some field experiments to demonstrate that our model allow a consistent determination of the 6DoF vehicle pose
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