Performance evaluation of color based road detection using neural nets and support vector machines

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2003-January, Issue , 2004, Pages 157-160

  Conrad, P ^a   Foedisch, M ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; PATTERN RECOGNITION; ROADS AND STREETS; SUPPORT VECTOR MACHINES; TRANSPORTATION;

FEATURE SETS; GRAVEL SURFACES; IMAGE COORDINATES; ROAD CONDITION; ROAD DETECTION; ROAD SEGMENTATION; SINGLE MODELS; TRAINING IMAGE;

IMAGE SEGMENTATION;

EID: 84952930473     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2003.1284265     Document Type: Conference Paper

References (5)

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2. C. Rasmussen, "Combining Laser Range, Color, and Texture Cues for Autonomous Road Following," in Proc. IEEE Inter. Conf. on Robotics & Automation, Washington, DC, 2002.
3. C. Shoemaker and J. Bornstein, "The Demo III UGV Program: A Testbed for Autonomous Navigation Research," in Proc IEEE Int. Symp. Intelligent Control, 1998.
4. H. Demuth and M. Beale, "Matlab Neural Network Toolbox User's Guide, Version 4.0," The MathWorks Inc., 2000.
5. Thorsten Joachims, "Learning to Classify Text Using Support Vector Machines." Dissertation, Kluwer, 2002.