A machine learning approach to pedestrian detection for autonomous vehicles using high-definition 3D range data

Sensors (Switzerland)

Volumn 17, Issue 1, 2017, Pages

  Navarro, Pedro J ^a   Fernández, Carlos ^a   Borraz, Raúl ^a   Alonso, Diego ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

Author keywords

3D LIDAR sensor; Machine vision and machine learning; Pedestrian detection

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; OBJECT DETECTION; OPTICAL RADAR; PEDESTRIAN SAFETY; SUPPORT VECTOR MACHINES; VEHICLES;

3-D LIDARS; AUTOMATED SENSORS; AUTONOMOUS VEHICLES; BAYES CLASSIFIER; HIGH DEFINITION; K NEAREST NEIGHBOURS (K-NN); MACHINE LEARNING APPROACHES; PEDESTRIAN DETECTION;

LEARNING ALGORITHMS;

ALGORITHM; BAYES THEOREM; HUMAN; MACHINE LEARNING; PEDESTRIAN; SUPPORT VECTOR MACHINE;

ALGORITHMS; BAYES THEOREM; HUMANS; MACHINE LEARNING; PEDESTRIANS; SUPPORT VECTOR MACHINE;

EID: 85007344299     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17010018     Document Type: Article

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