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Volumn 2015-December, Issue , 2015, Pages 5101-5108

Obstacle detection for self-driving cars using only monocular cameras and wheel odometry

Author keywords

Automobiles; Autonomous automobiles; Cameras; Navigation; Sensors; Wheels

Indexed keywords

AUTOMOBILES; CAMERAS; MOTION PLANNING; NAVIGATION; OBSTACLE DETECTORS; ROBOT PROGRAMMING; ROBOTS; SENSORS; STEREO IMAGE PROCESSING; UNCERTAINTY ANALYSIS; VEHICLES; WHEELS;

EID: 84958183887     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2015.7354095     Document Type: Conference Paper
Times cited : (90)

References (27)
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    • Lategahn, H.1    Derendarz, W.2    Graf, T.3    Kitt, B.4    Effertz, J.5
  • 12
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    • Oniga, F.1    Nedevschi, S.2
  • 16
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    • Badino, H.1    Franke, U.2    Mester, R.3
  • 18
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    • Toward automated driving in cities using close-to-market sensors, an overview of the v-charge project
    • P. Furgale et al. (34 authors), "Toward automated driving in cities using close-to-market sensors, an overview of the v-charge project, " in Intelligent Vehicles Symposium (IV), 2013.
    • (2013) Intelligent Vehicles Symposium (IV)
    • Furgale, P.1
  • 19
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    • Detailed real-time urban 3D reconstruction from video
    • (19 authors)
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    • Pollefeys, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.