A new benchmark for vision-based cyclist detection

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn 2016-August, Issue , 2016, Pages 1028-1033

  Li, Xiaofei ^a   Flohr, Fabian ^b,c   Yang, Yue ^b   Xiong, Hui ^a,d   Braun, Markus ^b,c   Pan, Shuyue ^b   Li, Keqiang ^a   Gavrila, Dariu M ^b,c  

^a TSINGHUA UNIVERSITY   (China)

^b DAIMLER AG   (Germany)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; OBJECT DETECTION; OBJECT RECOGNITION; STEREO IMAGE PROCESSING; VEHICLES;

CONVOLUTIONAL NEURAL NETWORK; DEFORMABLE PART MODELS; MOVING VEHICLES; OBJECT DETECTION METHOD; PEDESTRIAN DETECTION; PERFORMANCE ANALYSIS; SCIENTIFIC COMMUNITY; THREE SOLUTIONS;

PEDESTRIAN SAFETY;

EID: 84983392881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2016.7535515     Document Type: Conference Paper

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