DocumentCode :
2329927
Title :
An optimal sonar array for target localization and classification
Author :
Kleeman, Lindsay ; Kuc, Roman
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
3130
Abstract :
A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple targets in two dimensions to ranges of up to 8 meters. By accounting for effects of temperature and humidity, the system is accurate to within 1 mm and 6.1 degrees in still air. Targets separated by 10 mm can be discriminated. Targets are classified into planes, corners, edges and unknown, with the minimum of two transmitters and two receivers. A novel approach is that receivers are closely spaced to minimize the correspondence problem of associating echoes from multiple targets. A set of templates is generated for echoes to allow the optimal arrival time to be estimated, and overlapping echoes and disturbances to be rejected
Keywords :
acoustic arrays; acoustic imaging; mobile robots; pattern recognition; sonar; ultrasonic transducers; corners; correspondence problem; echoes; edges; indoor environments; mapping; mobile robots; multiple targets; optimal arrival time; optimal sonar array; planes; target classification; target localization; ultrasonic sensor; Intelligent robots; Intelligent sensors; Leg; Pulse measurements; Robot localization; Rough surfaces; Sensor arrays; Sonar measurements; Surface roughness; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351089
Filename :
351089
Link To Document :
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