@inproceedings{49a321d5ea2541c690cfe809f2d81b75,
title = "Mobile robot localization using modified particle filter",
abstract = "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.",
keywords = "estimation, measurement noise, mobile robot localization, particle filter",
author = "Wardhana, {Ananta Adhi} and Evan Clearesta and Augie Widyotriatmo and S. Suprijanto",
year = "2013",
doi = "10.1109/ICA.2013.6734064",
language = "English",
isbn = "9781467357982",
series = "Proceedings of 2013 3rd International Conference on Instrumentation, Control and Automation, ICA 2013",
publisher = "IEEE Computer Society",
pages = "161--164",
booktitle = "Proceedings of 2013 3rd International Conference on Instrumentation, Control and Automation, ICA 2013",
address = "United States",
note = "2013 3rd International Conference on Instrumentation, Control and Automation, ICA 2013 ; Conference date: 28-08-2013 Through 30-08-2013",
}