Feature analysis and selection for training an end-To-end autonomous vehicle controller using deep learning approach

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2017, Pages 1033-1038

  Yang, Shun ^a,b   Wang, Wenshuo ^b,c   Liu, Chang ^b   Deng, Weiwen ^a   Hedrick, J Karl ^b  

^a JILIN UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONTROLLERS; DEEP LEARNING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; ROADS AND STREETS; ROADSIDES; VEHICLES;

AUTONOMOUS VEHICLES; COMPUTATION COSTS; CONVOLUTIONAL NEURAL NETWORK; LEARNING APPROACH; LEARNING-BASED APPROACH; NONLINEAR FUNCTIONS; OPEN RACING CAR SIMULATORS; THREE CATEGORIES;

FEATURE EXTRACTION;

EID: 85028046743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2017.7995850     Document Type: Conference Paper

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