Lidar-based lane marker detection and mapping

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 1137-1142

  Kammel, Sören ^a   Pitzer, Benjamin ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; AUTOMOBILE ELECTRONIC EQUIPMENT; OPTICAL RADAR;

AUTONOMOUS VEHICLES; DETECTION APPROACHES; DIGITAL MAPS; DRIVER ASSISTANCE SYSTEMS; LANE MARKERS; ON CURRENTS; PRE-REQUISITES; REAL WORLDS; ROBUST ESTIMATIONS;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 57749187648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621318     Document Type: Conference Paper

References (7)

1. Matthias Goebl and Georg Färber. A real-time-capable hard- and software architecture for joint image and knowledge processing in cognitive automobiles. In Proc. IEEE Intelligent Vehicles Symposium, pages 734-739, Istanbul, Turkey, June 2007.
2. Sebastian Thrun. Robotic mapping: A survey. In G. Lakemeyer and B. Nebel, editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann, 2002.
3. S. Thrun. Learning occupancy grid maps with forward sensor models. Auton. Robots, 15(2): 111-127, 2003.
4. P. Biber and W. Strasser. nscan-matching: Simultaneous matching of multiple scans and application to slam. In IEEE International Conference on Robotics and Automation, 2006.
5. M. Bosse. P. M. Newman, J. J. Leonard, M. Soika, Wendelin Feiten, and Seth J. Teller. An atlas framework for scalable mapping. In Proceedings of the 2003 IEEE International Conference on Robotics and Automation, pages 1899-1906, Taipei, Taiwan, September 14-19 2003.
6. R.E. Kalman. A new approach to linear filtering and prediction problems. Journal of Basic Engineering, 82(1):35-45, 1960.
7. R. N. Bracewell. Numerical transforms. Science, 248(4956):697-704, 1990.