Real-Time Implementation of a GIS-Based Localization System for Intelligent Vehicles

1. 1.

   Royer E, Bom J, Dhome M, Thuilot B, Lhuillier M, Marmoiton F: Outdoor autonomous navigation using monocular vision. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '05), August 2005, Edmonton, Canada 1253-1258.

   • Google Scholar
2. 2.

   http://www.navteq.com/

3. 3.

   http://www.teleatlas.com/

4. 4.

   Jabbour M, Bonnifait Ph, Cherfaoui V: Enhanced local maps in a GIS for a precise localisation in urban areas. Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems (ITSC '06), September 2006, Toronto, Ontario, Canada 468-473.

   • Google Scholar
5. 5.

   Kopetz H: Time-triggered real-time computing. In Proceedings of the 15th World Congress of the International Federation of Automatic Control (IFAC '02), July 2002, Barcelona, Spain. IFAC Press;

   • Google Scholar
6. 6.

   Julier SJ, Uhlmann JK: New extension of the Kalman filter to nonlinear systems. Proceedings of the 11th International Symposium on Aerospace/Defence Sensing, Simulation and Controls, April 1997, Orlando, Fla, USA

   • Google Scholar
7. 7.

   Brown RG, Hwang PYC: Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises and Solutions. John Wiley & Sons, New York, NY, USA; 1996.

   • Google Scholar
8. 8.

   Tessier C, Cariou C, Debain C, Chausse F, Chapuis R, Rousset C: A real-time, multi-sensor architecture for fusion of delayed observations: application to vehicle localization. Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems (ITSC '06), September 2006, Toronto, Ontario, Canada 1316-1321.

   • Google Scholar
9. 9.

   Gustafsson F, Gunnarsson F, Bergman N, et al.: Particle filters for positioning, navigation, and tracking. IEEE Transactions on Signal Processing 2002,50(2):425-437. 10.1109/78.978396

   • Article
   • Google Scholar
10. 10.

    Niklas S: Real time implementation of map aided positioning using a Bayesain approach, M.S. thesis. Linköping University, Linköping, Sweden; 2002.

    • Google Scholar
11. 11.

    El Najjar ME, Bonnifait Ph: A road-matching method for precise vehicle localization using belief theory and Kalman filtering. Autonomous Robots 2005,19(2):173-191. 10.1007/s10514-005-0609-1

    • Article
    • Google Scholar
12. 12.

    Walter T, Enge P: Weighted RAIM for precision approach. Proceedings of the 8th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS '95), September 1995, Palm Springs, Calif, USA 2: 1995-2004.

    • Google Scholar
13. 13.

    Wijesoma S, Lee KW, Guzman JI: On the observability of path constrained vehicle localisation. Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems (ITSC '06), September 2006, Toronto, Ontario, Canada 1513-1518.

    • Google Scholar
14. 14.

    Kelly A: Linearized error propagation in odometry. The International Journal of Robotics Research 2004,23(2):179-218. 10.1177/0278364904041326

    • Article
    • Google Scholar
15. 15.

    http://www.benomad.com/

16. 16.

    Kais M, Bonnifait Ph, Bétaille D, Peyret F: Development of loosely-coupled FOG/DGPS and FOG/RTK systems for ADAS and a methodology to assess their real-time performances. Proceedings of IEEE Intelligent Vehicles Symposium (IV '05), June 2005, Las Vegas, Nev, USA 358-363.

    • Google Scholar
17. 17.

    Chaaban K, Shawky M, Crubillé P: A distributed framework for real-time in-vehicle applications. Prceedings of the 8th IEEE International Conference on Intelligent Transportation Systems (ITSC '05), September 2005, Vienna, Austria 925-929.

    • Google Scholar
18. 18.

    Muro-Medrano PR, Infante D, Guillo J, Zarazaga J, Bañares JA: A CORBA infrastructure to provide distributed GPS data in real time to GIS applications. Computers, Environment and Urban Systems 1999,23(4):271-285. 10.1016/S0198-9715(99)00025-3

    • Article
    • Google Scholar

Download references