Traffic light recognition in varying illumination using deep learning and saliency map

2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Volumn , Issue , 2014, Pages 2286-2291

  John, V ^a   Yoneda, K ^a   Qi, B ^a   Liu, Z ^a   Mita, S ^a  

^a TOYOTA TECHNOLOGICAL INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTIONAL NEURAL NETWORKS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; TRAFFIC SIGNALS;

AUTONOMOUS VEHICLE NAVIGATION; ILLUMINATION CONDITIONS; LOW ILLUMINATIONS; REAL WORLD ENVIRONMENTS; RECOGNITION ACCURACY; RECOGNITION ALGORITHM; REGION OF INTEREST; SIGNAL RECOGNITION;

DEEP LEARNING;

EID: 84922296764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2014.6958056     Document Type: Conference Paper

References (11)

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