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Volumn , Issue , 2010, Pages 804-809

Floor segmentation of omnidirectional images for mobile robot visual navigation

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE BASED; APPEARANCE MODELS; AUTONOMOUS OPERATIONS; BACK-PROJECTION; CLASSIFICATION ERRORS; CORRIDOR FOLLOWING; CROSS VALIDATION; GROUND TRUTH DATA; LOCAL ENVIRONMENTS; NAIVE BAYES CLASSIFIERS; NAVIGATION BEHAVIOR; OBSTACLE AVOIDANCE; OMNIDIRECTIONAL IMAGE; PHOTONIC MIXER DEVICE; RANGE DATA; ROBOTIC EXPERIMENTS; ROBUST PERFORMANCE; UNSTRUCTURED ENVIRONMENTS; VALIDATION DATA; VISION ALGORITHMS; VISION-BASED MOBILE ROBOTS; VISUAL APPEARANCE; VISUAL NAVIGATION;

EID: 78651501862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5652869     Document Type: Conference Paper
Times cited : (25)

References (17)
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    • Layered ground floor detection for vision-based mobile robot navigation
    • April
    • Young Kim and Hakil Kim. Layered ground floor detection for vision-based mobile robot navigation. In Proc. IEEE Int. Conf. on Robotics and Automation, volume 1, pages 13-18, April 2004.
    • (2004) Proc. IEEE Int. Conf. on Robotics and Automation , vol.1 , pp. 13-18
    • Kim, Y.1    Kim, H.2
  • 12
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
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  • 13
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    • Fast color/texture segmentation for outdoor robots
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.