Lim, Thol Yong and Yeong, Che Fai and Su, Eileen Lee Ming and Chik, Sheng Fei and Chin, Patrick Jun Hua and Tan, Ping Hua (2016) Performance evaluation of various 2-d laser scanners for mobile robot map building and localization. Journal of Telecommunication, Electronic & Computer Engineering, 8 (11). pp. 105-109. ISSN 21801843
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Official URL: http://journal.utem.edu.my/index.php/jtec/article/...
Abstract
A study has been carried out to investigate the performance of various 2 - D laser scanners , which influ ence the map building quality and localization performance for a mobile robot. Laser scanners are increasingly used in auto mation and robotic applications. T hey are widely used as sensing devices for map building and localization in navigation of mobile ro bot. Laser scanners are commercially available, but there is very little published information on the performance comparison of various laser scanners on the mobile robot map building and localization. Hence, this work studies the performance by comparing four laser scanners which are Hokuyo URG04LX - UG01, Hokuyo UTM30LX, SICK TIM551 and Pepperl Fuchs ODM30M. The results, which are verified by comparison with the reference experimental data, indicated that the angle resolution and sensing range of laser scan ner are key factors affecting the map building quality and position estimation for localization. From the experiment, laser scanner with 0.25° angle resolution is optimum enough for building a map of sufficient quality for good localization performance . W i th 30meter of sensing range, a laser scanner can also result in better localization performance , especially in big environment.
Item Type: | Article |
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Additional Information: | RADIS System Ref No:PB/2016/09303 |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology |
Divisions: | Advanced Informatics School Malaysia-Japan International Institute of Technology |
ID Code: | 68240 |
Deposited By: | Haliza Zainal |
Deposited On: | 01 Nov 2017 03:26 |
Last Modified: | 20 Nov 2017 08:52 |
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