Title :
General solution for linearized systematic error propagation in vehicle odometry
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Vehicle odometry is a nonlinear dynamical system in echelon form. Accordingly, a general solution can be written by solving the nonlinear equations in the correct order. Another implication of this structure is that a completely general solution to the linearized (perturbative) dynamics exists. The associated vector convolution integral is the general relationship between the output error and both the input error and reference trajectory. Solutions for errors in individual coordinates are in the form of line integrals in state space. Response to initial conditions and translational scale errors, among others, is path independent and vanishes on all closed trajectories. Response to other errors is path dependent and can be reduced to expressions in error moments of the reference trajectory. These path dependent errors vanish on closed symmetric paths, among others. These theoretical results and the underlying error expressions have many uses in design, calibration, and evaluation of odometry systems
Keywords :
distance measurement; error analysis; linearisation techniques; mobile robots; nonlinear dynamical systems; observers; position control; dead reckoning; error moments; linearized error dynamics; mobile robots; nonlinear dynamical system; nonlinear equations; observer; path dependent errors; position estimation; vector convolution; vehicle odometry; Dead reckoning; Error analysis; Estimation error; Mobile robots; Nonlinear dynamical systems; Nonlinear equations; Robot kinematics; Satellites; Uniform resource locators; Vehicle dynamics;
Conference_Titel :
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-6612-3
DOI :
10.1109/IROS.2001.976357