Bukhori, Iksan and Ismail, Zool Hilmi (2016) Detection strategy for kidnapped robot problem in Monte Carlo localization based on similarity measure of environment. In: 2016 IEEE 6TH International Conference on Underwater System Technology: Theory and Applications, 13-14 Dec, 2016, Pulau Pinang, Malaysia.
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Official URL: http://dx.doi.org/10.1109/USYS.2016.7893936
Abstract
This paper investigates new alternative approaches to detect the kidnapped robot problem event in Monte Carlo Localization. The underlying idea is based on the local similarity measures of the environment seen by the robot at two consecutive time instances. Six different similarity measures are investigated and tested against particles weight-based detectors to see how good each detector’s ability to distinguish normal condition from kidnapping event. These simulations show that similarity based-detectors promises better general accuracy across all kidnapping points compared to particles weight-based detectors and the accuracy is not affected by the result of re-localization.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | RADIS System Ref No:PB/2016/09979 |
Uncontrolled Keywords: | kidnapping detection, similarity measures |
Subjects: | T Technology |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 67076 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 25 Aug 2017 06:30 |
Last Modified: | 25 Aug 2017 06:30 |
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