@inproceedings{bc35b25bc81f40898f53c4a9ba28f36f,
title = "Sensor failure detection in autonomous mobile robot application",
abstract = "Presented paper deals with sensor failure detection and identification (FDI) in navigation task of autonomous mobile robot. Mobile robots use ultrasonic range finders to solve a collision avoidance task, which is crucial for successful navigation. When the sensory readings are invalid the robot should be able to detect such a failure and interrupt its actual movement. To solve this task, the method based on first-order Markov chain parameters estimation was developed and tested in both the simulation and the real world environment. Practical experiments were performed on autonomous mobile robot Advee.",
author = "Stanislav Vechet and Jiri Krejsa and Chen, {Kuo Shen}",
note = "Publisher Copyright: {\textcopyright} 2014 Brno University of Technology.; 16th International Conference on Mechatronics, Mechatronika 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
month = jan,
day = "22",
doi = "10.1109/MECHATRONIKA.2014.7018287",
language = "English",
series = "Proceedings of the 16th International Conference on Mechatronics, Mechatronika 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "375--380",
editor = "Tomas Brezina and Alexandr Stefek and Dusan Maga",
booktitle = "Proceedings of the 16th International Conference on Mechatronics, Mechatronika 2014",
address = "United States",
}