Title :
Just-in-time sensing: efficiently combining sonar and laser range data for exploring unknown worlds
Author :
Dudek, Gregory ; Freedman, Paul ; Rekleitis, Ioannis M.
Author_Institution :
Center for Intelligent Machines, McGill Univ., Montreal, Que., Canada
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. The authors call their 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, the authors are able to obtain a much better map of an interior space at little additional cost (in terms of time and computational expense)
Keywords :
CCD image sensors; distance measurement; laser ranging; mobile robots; sonar; stereo image processing; directional laser range finder; just-in-time sensing; laser range data; mobile robot; sonar range data; sonar sensors; Industrial control; Intelligent sensors; Inventory control; Laser theory; Layout; Lenses; Manufacturing industries; Optical materials; Sensor phenomena and characterization; Sonar;
Conference_Titel :
Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7803-2988-0
DOI :
10.1109/ROBOT.1996.503851