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Mobile robot localization using modified particle filter

Ananta Adhi Wardhana, Evan Clearesta, Augie Widyotriatmo, Suprijanto Suprijanto

发表年份
2013
引用次数
10

摘要

Localization is one of many issues in mobile robot study. Localization is an essential ability for mobile robot to determine its location, so that it can plan a movement and go to a desired location. The mutual method for mobile robot localization is using a particle filter. High computation needs in particle filter is one of problem in particle filtering to get accurate location. The paper proposes a low computational mobile robot localization using a particle filter. It uses two methods: local localization using a dead reckoning method and global localization using a landmark-based vision sensor. Simulation results show that the proposed method provides a good estimation on the mobile robot position and orientation.

关键词

Particle filterMobile robotMonte Carlo localizationComputer visionComputer scienceLandmarkArtificial intelligenceDead reckoningRobotMobile robot navigation

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