Low-cost visual localization and mapping for consumer robotics

Industrial Robot

Volumn 30, Issue 2, 2003, Pages 139-144

  Pirjanian, Paolo ^a   Karlsson, Niklas ^a   Goncalves, Luis ^b   Di Bernardo, Enrico ^b  

^a Evolution Robotics Inc   (United States)

^b Idealab   (United States)

Author keywords

Localization; Robots; Vision

Indexed keywords

CAMERAS; COST EFFECTIVENESS; MOBILE ROBOTS; PERFORMANCE;

CONSUMER ROBOTICS;

ROBOTICS;

EID: 0037238729     PISSN: 0143991X     EISSN: None     Source Type: Journal    
DOI: 10.1108/01439910310464159     Document Type: Article

References (6)

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2. Fox, D., Thrun, S., Burgard, W. and Dellaert, F. (2001), "Particle filters for mobile robot localization", in Doucet, A., Freitas, N. and Gordon, N. (Eds), Sequential Monte Carlo methods in practice, Springer-Verlag, New York, pp. 401-28.
3. Roumeliotis, S.I. and Bekey, G.A. (2000), "Bayesian estimation and Kalman filtering: a unified framework for mobile robot localization", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, pp. 2985-92.
4. Thrun, S. (2000a), "Probabilistic algorithms in robotics", Technical Report, CMU-CS-00-126, Carnegie Mellon University, Pittsburgh, PA, USA.
5. Thrun, S. (2000b), "Robotic mapping: a survey", Technical Report, CMU-CS-02-111, Carnegie Mellon University, Pittsburgh, PA, USA.
6. Wolf, J., Burgard, W. and Burkhardt, H. (2002), "Robust vision-based localization for mobile robots using an image retrieval system based on invariant features", Proceedings of the 2002 IEEE International Conference on Robotics and Automation, May 2002, Washington DC, USA, pp. 359-63.