Grid-based visual terrain classification for outdoor robots using local features

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIVTS 2011: 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems

Volumn , Issue , 2011, Pages 16-22

  Khan, Yasir Niaz ^a   Komma, Philippe ^a   Bohlmann, Karsten ^a   Zell, Andreas ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BLURRED IMAGE; CROSS VALIDATION; DIFFERENT TERRAINS; GRID-BASED; GROUND CONDITIONS; IMAGE BLUR; LOCAL BINARY PATTERNS; LOCAL FEATURE; LOCAL-ADAPTIVE; NON-TRADITIONAL APPROACH; OUTDOOR MOBILE ROBOTS; RANDOM FORESTS; ROBOT MOTION; TERRAIN CLASSIFICATION; TEXTURE CLASSIFICATION; VISUAL TERRAIN CLASSIFICATION; WEATHER CONDITIONS;

ARTIFICIAL INTELLIGENCE; DECISION TREES; LANDFORMS; MOBILE ROBOTS;

INTELLIGENT ROBOTS;

EID: 79961199389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIVTS.2011.5949534     Document Type: Conference Paper

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