Simultaneous calibration of odometry and sensor parameters for mobile Robots

Andrea Censi*, Antonio Franchi, Luca Marchionni, Giuseppe Oriolo

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

59 Citations (Scopus)

Abstract

Consider a differential-drive mobile robot equipped with an on-board exteroceptive sensor that can estimate its own motion, e.g., a range-finder. Calibration of this robot involves estimating six parameters: three for the odometry (radii and distance between the wheels) and three for the pose of the sensor with respect to the robot. After analyzing the observability of this problem, this paper describes a method for calibrating all parameters at the same time, without the need for external sensors or devices, using only the measurement of the wheel velocities and the data from the exteroceptive sensor. The method does not require the robot to move along particular trajectories. Simultaneous calibration is formulated as a maximum-likelihood problem and the solution is found in a closed form. Experimental results show that the accuracy of the proposed calibration method is very close to the attainable limit given by the Cramér-Rao bound.

Original languageEnglish
Article number6482657
Pages (from-to)475-492
Number of pages18
JournalIEEE transactions on robotics
Volume29
Issue number2
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Differential-drive
  • Extrinsic calibration
  • Mobile robots
  • Odometry calibration

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