Precise positioning using model-based maps
- 17 December 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1615-1621 vol.2
- https://doi.org/10.1109/robot.1994.351359
Abstract
This paper addresses the coupled tasks of constructing a spatial representation of the environment with a mobile robot using noisy sensors (sonar) and using such a map to determine the robot's position. The map is not meant to represent the actual spatial structure of the environment so much as it is meant to represent the major structural components of what the robot "sees". This can, in turn, be used to construct a model of the physical objects in the environment. One problem with such an approach is that maintaining an absolute coordinate system for the map is difficult without periodically calibrating the robot's position. The authors demonstrate that in a suitable environment it is possible to use sonar data to correct position and orientation estimates on an ongoing basis. This is accomplished by incrementally constructing and updating a model-based description of the acquired data. Given coarse position estimates of the robot's location and orientation, these can be refined to high accuracy using the stored map and a set of sonar readings from a single position. This approach is then generalized to allow global position estimation, where position and orientation estimates may not be available. The authors consider the accuracy of the method based on a single sonar reading and illustrate its region of convergence using empirical data.Keywords
This publication has 6 references indexed in Scilit:
- Mobile robot localization in a structured environment cluttered with obstaclesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- 3D relative position and orientation estimation using Kalman filter for robot controlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- An iconic position estimator for a 2D laser rangefinderPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Dynamic Map Building for an Autonomous Mobile RobotThe International Journal of Robotics Research, 1992
- Mobile robot localization by tracking geometric beaconsIEEE Transactions on Robotics and Automation, 1991
- Blanche-an experiment in guidance and navigation of an autonomous robot vehicleIEEE Transactions on Robotics and Automation, 1991