A probabilistic representation of LiDAR range data for efficient 3D object detection

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Yapo, Theodore C ^a   Stewart, Charles V ^b   Radke, Richard J ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b Rensselaer Polytechnic Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3-D OBJECTS; DETECTING OBJECTS; HYPOTHESIS TESTING; LIDAR DATA; LIDAR SENSORS; OBJECT DETECTION; OCCUPANCY GRIDS; ORIGINAL SAMPLE; PROBABILISTIC REPRESENTATIONS; RANGE DATA; ROBOT MAPPING; SCENE REPRESENTATION;

ARTIFICIAL INTELLIGENCE; CLUTTER (INFORMATION THEORY); COMPUTER VISION; CONFORMAL MAPPING; FEATURE EXTRACTION; IMAGE PROCESSING; LITHIUM; OPTICAL RADAR; PATTERN RECOGNITION; PROBABILITY; RISK ASSESSMENT;

THREE DIMENSIONAL;

EID: 51849100744     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4563033     Document Type: Conference Paper

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