Lost! leveraging the crowd for probabilistic visual self-localization

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 3057-3064

  Brubaker, Marcus A ^a   Geiger, Andreas ^b   Urtasun, Raquel ^a  

^a TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^b KIT and MPI Tübingen ^*  (Japan)

Author keywords

localization; mixture model; visual odometry

Indexed keywords

APPROXIMATE INFERENCE; AUTONOMOUS SYSTEMS; DISTRIBUTED COMPUTATIONS; LOCALIZATION; MIXTURE MODEL; PROBABILISTIC MODELING; REAL TIME REQUIREMENT; VISUAL ODOMETRY;

INFERENCE ENGINES; PATTERN RECOGNITION;

VISION;

EID: 84887334515     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.393     Document Type: Conference Paper

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