Outdoor navigation of a mobile robot with multiple sensors

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3210, Issue , 1998, Pages 13-24

  Hu, Huosheng ^a   Gu, Dongbing ^a   Brady, Michael ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Kalman filtering; Outdoor navigation; Position estimation; Sensor integration

Indexed keywords

CELLULAR RADIO SYSTEMS; CONTROL THEORY; KALMAN FILTERS; MOBILE ROBOTS; NAVIGATION; ROBOTICS; SENSORS;

CLUTTER BACKGROUNDS; EXTENDED KALMAN FILTER ALGORITHMS; KALMAN FILTERING; LASER SCANNERS; MULTIPLE SENSORS; ODOMETRY; OUTDOOR NAVIGATION; POSITION ACCURACIES; POSITION ESTIMATION; REFLECTIVE OBJECTS; SENSOR INTEGRATION; SINGLE STRIPS; UNEVEN ROADS; VISION SENSORS;

ROBOTS;

EID: 0008008116     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.299562     Document Type: Conference Paper

References (18)

1. A. Elfes. Using occupancy grids for mobile robot perception and navigation. IEEE Computer, pages 46-57, June 1989.
2. Y. Bar-Shalom and T.E. Fortmann. Tracking and Data Association. Academic Press, 1988.
3. M. Daily, J. Harris, D. Keirsey, K. Olin, D. Payton, K. Reiser, J. Rosenblatt, D. Tseng, and V. Wong. Autonomous cross-country navigation with the alv. In Proc. IEEE Int. Conf. Robotics and Automation, pages 718-726, Philadelphia, USA, 1988.
4. H. Hu, J.M. Brady, and P.J. Probert. Trajectory planning and optimal tracking for an industrial mobile robot. In Proc. of SPIE's Int. Symp. on Mobile Robots VIII, volume 2058, Boston, USA, Sept. 1993.
5. Huosheng Hu and Michael Brady. A parallel processing architecture for sensor-based control of intelligent mobile robots. The International Journal of Robotics and Autonomous Systems, 17(4):235-257, June 1996.
6. J. Borenstein and L. Feng. Measurement and correction of systematic odometry errors in mobile robots. IEEE Trans. Robotics and Automation, 12(6):869-880, 1996.
7. Y. Kanayama and B.I. Hartman. Smooth local path planning for autonomous vehicles. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1265-1270, Scottsdale, AZ, 1989.
8. J-P. Laumond. Feasible trajectories for mobile robots with kinematic and environment constraints. In Proc. of Int. Conf. on Intelligent Autonomous Systems, Amsterdam, Netherland, 1986.
9. J.J. Leonard and H.F. Durrant-Whyte. Directed Sonar Sensing for Mobile Robot Navigation. Kluwer Academic Publishers, 1992.
10. L.H. Matthies. Stereo vision for planetary rovers: stochastic modelling to near real-time implementation. International Journal of Computer Vision, 8(1), 1992.
11. C.D. McGillem and T.S. Rappaport. Infrared location system for navigation of autonomous vehicles. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1236-1238, Philadelphia, USA, 1988.
12. E. Mettala. Reconnaissance, surveillance and target acquisition research for the unmanned ground vehicle program. In Proc. Imaging Understanding Workshop, Washington D.C., USA, 1993.
13. W.L. Nelson. Continuous-curvature paths for autonomous vehicles. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1260-1264, Scottsdale, AZ, 1989.
14. W.L. Nelson and I.J. Cox. Local path control for an autonomous vehicle. In Proc. IEEE Int. Conf. Robotics and Automation, pages 1504-1510, Philadelphia, USA, 1988.
15. O. Pinchard, A. Liegeois, and F. Pougent. Generalized polar polynomials for vehicle path generation with dynamic constraints. In Proc. IEEE Int. Conf. Robotics and Automation, pages 915-920, Minneapolis, Minnesota, 1996.
16. S. Thrun and A. Bucken. Integrating grid-based and topological maps for mobile robot navigation. In Proc. of 13 National Conf. on Artificial Intelligence, Portland Oregon, August 1996.
17. T. Skewis and V. Lumelsky. Experiments with a mobile robot operating in a cluttered unknown environment. Journal of Robotics Systems, 11(4):281-300, 1994.
18. Y. Kanayama and N. Miyake. Trajectory generation for mobile robots. In Proc. IEEE Int. Conf. Robotics and Automation, pages 333-340, France, 1985.