Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-10T10:02:38.583Z Has data issue: false hasContentIssue false

Mobile robot localization using a single rotating sonar and two passive cylindrical beacons

Published online by Cambridge University Press:  09 March 2009

H. R. Beom
Affiliation:
Research & Development Laboratory Gold Star Industrial Systems, CO., Ltd. Anyang (Korea).
H. S. Cho
Affiliation:
Center for Robotics and Automation Department of Precision Engineering and Mechatronics Korea Advanced Institute of Science and Technology373–1 Kusong-dongTaejeon305–701 (Korea).

Summary

This paper proposes a new method of estimating the position and heading angle of a mobile robot moving on a fiat surface. The proposed localization method utilizes two passive beacons and a single rotating ultrasonic sensor. The passive beacons consist of two cylinders with different diameters and reflect the ultrasonic pulses coming from the sonar sensor mounted on the mobile robot. The sonar sensor, again, mounted on a pan-tilt device then receives the reflected pulses while scanning over a wide area. The geometric parameter set of beaconis acquired from the sonar scan data obtained at a single mobile robot location using a new data processing algorithm. The presented algorithm is especially suitable for processing the sonar scan data obtained by ultrasonic sensor with wide beam spread. From this parameter set, the position and heading angle of the mobile robot is determined directly. The performance and validity of the proposed method are evaluated using two beacons and a single sonar sensor attached at the pan-tilt device mounted on a mobile robot, named LCAR, in our laboratory.

Type
Articles
Copyright
Copyright © Cambridge University Press 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Borenstein, J. and Koren, Y., “Real-time obstacle avoidance for fast mobile robotIEEE Trans. Syst. Man Cybern. 19, No. 5, 11791187 (1989).CrossRefGoogle Scholar
2.Elfes, A., “Sonar-based real world mapping and navigationIEEE J. Robotics and Automation 3, 249265 (1987).CrossRefGoogle Scholar
3.Yuta, S., Kanayama, Y., Yajima, T. and Shimamura, S., “An implementation of MICHI-A locomotion command system for intelligent mobile robot” Proc. Int. Conf. Advanced Robotics(1985) pp. 127134.Google Scholar
4.Kim, J. H. and Cho, H. S.,“Real-time determination of a mobile robot's position by linear scanning of a landmarkRobotica 10, 309319 (1992).CrossRefGoogle Scholar
5.Fukui, I., “TV image processing to determine the position of a robot vehiclePattern Recognition 14, No. 1–6, 101109 (1981).CrossRefGoogle Scholar
6.Nishide, K.Hanawa, M. and Kondo, T., “Automatic position findings of vehicle by means of Laser” Proc. IEEE Int. Conf. Robotics and Automation(1986) pp. 13431348.Google Scholar
7.Arai, T. and Nakano, E., “Development of measuring equipment for location and direction (MELODI) using ultrasonic wavesTrans. ASME, J. of Dynamic Systems, Measurement and Control 105, 152156 (1982).CrossRefGoogle Scholar
8.Kleeman, L.,“Optimal estimation of position and heading for mobile robots using ultrasonic beacons and dead reckoning” Proc. IEEE Int. Conf. Robotics and Automation(1992) pp. 25822587.Google Scholar
9.Drumheller, M., “Mobile robot localization using sonarIEEE Trans. Patt. Anal. and Machine Intell. 9, No. 2, 325332 (1987).CrossRefGoogle Scholar
10.Leonard, J. J. and Durrant-Whyte, H. F., “Mobile robot localization by tracking geometric beaconsIEEE Trans. Robotics and Automation 7, No. 3, 376382 (1991).CrossRefGoogle Scholar
11.Leonard, J. J. and Durrant-Whyte, H. F., “Dynamic map building for an autonomous mobile robot”, Int. J. Robotics Research 11, No. 4, 286298 (1992).CrossRefGoogle Scholar
12.Holenstein, A. A., Muller, M. A. and Badreddin, E., “Mobile robot localization in structured environment cluttered with obstacles” Proc. IEEE Int. Conf. Robotics and Automation(1992) pp. 25762581Google Scholar
13.Barshan, B. and Kuc, R., “Differentiating sonar reflections from corners and planes by employing an intelligent sensorIEEE Trans. Patt. Anal. and Machine Intell. 12, No. 6, 560569 (1990).CrossRefGoogle Scholar
14.Bozama, O. and Kuc, R., “Building a sonar map in a specular environment using a single mobile sensorIEEE Trans. Patt. Anal. and Machine Intell. 13, No. 12, 12601269 (1991).CrossRefGoogle Scholar
15.Polaroid Corporation, Ultrasonic ranging system (1988).Google Scholar