Detection strategy for kidnapped robot problem in Monte Carlo localization based on similarity measure of environment

• 主要な著者: Bukhori, Iksan, Ismail, Zool Hilmi
• フォーマット: Conference or Workshop Item
• 出版事項: IEEE 2016
• 主題: T Technology
• オンライン･アクセス: http://eprints.utm.my/id/eprint/67076/; http://dx.doi.org/10.1109/USYS.2016.7893936

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 inve...