Title :
Sensing for autonomous vehicle navigation
Author_Institution :
Electr. & Control Integration Lab., Gen. Motors Corp., Warren, MI, USA
Abstract :
This paper introduces GM´s research efforts on sensing technologies for autonomous vehicle navigation with an example of a novel LIDAR-based lane-marker detection on GM-CMU´s entry Boss, the autonomous vehicle that won the DARPA Urban Challenge.
Keywords :
navigation; optical radar; vehicles; DARPA Urban Challenge; GM research; GM-CMU´s entry Boss; LIDAR; autonomous vehicle navigation; lane marker detection; sensing technology; Laser radar; Mobile robots; Navigation; Object detection; Optical receivers; Radar detection; Radar tracking; Remotely operated vehicles; Road vehicles; Vehicle detection; (040.1880) Detection; (150.1135) Algorithms;
Conference_Titel :
Lasers and Electro-Optics, 2009 and 2009 Conference on Quantum electronics and Laser Science Conference. CLEO/QELS 2009. Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-55752-869-8
Electronic_ISBN :
978-1-55752-869-8
