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Just-in-time sensing: efficiently combining sonar and laser range data for exploring unknown worlds

Authors: Gregory Dudek, Paul Freedman, Ioannis Rekleitis

Abstract: This paper describes an approach to combining range data from both a set of sonar sensors as well as from a directional laser range finder to efficiently take advantage of the characteristics of both types of devices when exploring and mapping unknown worlds. We call our approach ``just in time sensing'' because it uses the more accurate but constrained laser range sensor only as needed, based upon a preliminary interpretation of sonar data. In this respect, it resembles ``just in time'' inventory control which attempts to judiciously obtain materials for industrial manufacturing only when and as needed. Experiments with a mobile robot equipped with sonar and a laser rangefinder demonstrate that by judiciously using the more accurate but more complex laser rangefinder to deal with the well-known ambiguity which arises in sonar data, we are able to obtain a much better map of an interior space at little additional cost (in terms of time and computational expense).

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@inproceedings{DudekICRA1996, author = {Gregory Dudek and Paul Freedman and Ioannis Rekleitis}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}, title = {Just-in-time sensing: efficiently combining sonar and laser range data for exploring unknown worlds}, year = {1996}, volume = {1}, number = {}, pages = {667-671}, keywords = {}, doi = {} }