Title :
Modeling odometry and uncertainty propagation for a Bi-Steerable car
Author :
Hermosillo, Jorge ; Pradalier, Cedric ; Sekhavat, Sepanta
Author_Institution :
INRIA Rhone-Alpes, St. Ismier, France
Abstract :
This paper addresses the problem of modeling the odometry (dead-reckoning) for a Bi-Steerable car (BS-car) and its uncertainty propagation model. The attractive feature of BS-robots is their enhanced maneuverability compared to car-like robots. At first, we take into account the steering ability of a BS-car in order to obtain the odometry model for vehicles showing this type of kinematics. Subsequently, we obtain a generic model for the uncertainty propagation of the odometry model by using a Bayesian probability approach. We show how it is possible to derive from this generic model a specific error propagation model for a particular system, under clearly stated hypothesis. We evaluate qualitatively and quantitatively the performance of the odometry model by experimenting with our BS-platform, the Cycab robot.
Keywords :
Bayes methods; mobile robots; road vehicles; robot kinematics; uncertainty handling; BS-robots; Bayesian uncertainty model; Bi-Steerable car; Cycab robot; bi-steerable cars; car-like robots; error propagation; maneuverability; odometry; uncertainty propagation; Bayesian methods; Ear; Kinematics; Laser modes; Mobile robots; Robot sensing systems; Sensor phenomena and characterization; Uncertainty; Vehicles; Wheels;
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
DOI :
10.1109/IVS.2002.1187984