Using ultrasonic and vision sensors within extended kalman filter for robot navigation

Canadian Acoustics - Acoustique Canadienne

Volumn 33, Issue 3, 2005, Pages 28-29

  Chen, Zhenhe ^a   Rodrigo, Ranga ^a   Parsa, Vijay ^a   Samarabandu, Jagath ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; KALMAN FILTERING; RADIO NAVIGATION; SENSORS; ULTRASONIC DEVICES;

FINITE DIMENSIONAL SYSTEM; NAVIGATION PROBLEM; ROBOT NAVIGATION; SIMULTANEOUS LOCALIZATION AND MAP-BUILDING (SLAM);

ROBOTICS;

EID: 27644439563     PISSN: 07116659     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Chen, Z. & Samarabandu, J. (2005). Using multiple view geometry within extended kalman filter framework for simultaneous localization and map-building, in 'IEEE International Conference on Mechatronios and Automation'. Niagara Falls, Canada.
2. Dissanayake, M. W. M. G., Newman, P. & Clark. S. (2001). 'A solution to the simultaneous localization and map building (SLAM) problem', IEEE Transactions on Robotics and Automation 17(3), 229-241.
3. Hayin. S. (2002). Adaptive Filter Theory, 4th Edition, Prentice Hall, Upper Saddle River, New Jersey.
4. Kleeman, L., & Kuc, R. (1995), 'Mobile robot sonar for target localization and classification', International Journal of Robotics Research 14(4).
5. Thrun, S. (2002), Robotic Mapping: A Survey, In G. Lakemeyer and B. Nebel, editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann. URL: http://robots.stanford.edu/papers.html
6. Wolter, D., Latecki, L., Lakamper. R. & Sun, X. (2004), 'Shape-based robot mapping', Advances in Artificial Intelligence, Proceedings Lecture Notes in Computer Science (3238), 439-452.