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Volumn , Issue , 2016, Pages 461-465

Vision based obstacle detection and collision risk estimation of an unmanned surface vehicle

Author keywords

Collision risk; Computer vision; Target motion analysis; Unmanned surface vehicle

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATIC TARGET RECOGNITION; ESTIMATION; INTELLIGENT ROBOTS; MOTION ANALYSIS; OBSTACLE DETECTORS; RISK ASSESSMENT; RISK PERCEPTION; UNMANNED SURFACE VEHICLES; VEHICLES;

EID: 85000843811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URAI.2016.7734083     Document Type: Conference Paper
Times cited : (16)

References (12)
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    • Naeem W and Irwin OW. An automatic collision avoidance strategy for unmanned surface vehicles. In: Li K, Li X, Ma S and Irwin OW (eds) Life system modeling and intelligent computing. Berlin: Springer Berlin Heidelberg, pp. 184-191, 2010
    • (2010) Life System Modeling and Intelligent Computing , pp. 184-191
    • Naeem, W.1    Irwin, O.W.2
  • 2
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    • Automatic collision avoidance systems: Towards 21 st century
    • Shanghai, China, September
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    • (1994) Annual China Airport Summit (ACAS) , pp. 1-10
    • Jingsong, Z.1    Price, W.G.2    Wilson, P.A.3
  • 3
    • 37249052728 scopus 로고    scopus 로고
    • Autonomous ship collision avoidance navigation concepts, technologies and techniques
    • Statheros T, Howells 0 and Maier KM. Autonomous ship collision avoidance navigation concepts, technologies and techniques. J Navig 2008; 61: 129-142.
    • (2008) J Navig , vol.61 , pp. 129-142
    • Statheros, T.1    Howells, O.2    Maier, K.M.3
  • 4
    • 84869083536 scopus 로고    scopus 로고
    • A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres
    • Campbell S, Naeem W and Irwin OW. A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres. Annu Rev Control 2012; 36: 267-283.
    • (2012) Annu Rev Control , vol.36 , pp. 267-283
    • Campbell, S.1    Naeem, W.2    Irwin, O.W.3
  • 6
    • 84883086399 scopus 로고    scopus 로고
    • Vision-based detection and tracking of airborne obstacles in a cluttered environment
    • Cho S, Huh S, Shim DH et al. Vision-based detection and tracking of airborne obstacles in a cluttered environment. J Intell Rob Syst 2013; 69: 475-488.
    • (2013) J Intell Rob Syst , vol.69 , pp. 475-488
    • Cho, S.1    Huh, S.2    Shim, D.H.3
  • 7
    • 82955178505 scopus 로고    scopus 로고
    • A vision-based obstacle detection system for unmanned surface vehicle
    • Qingdao, China, 17-19 September IEEE
    • Wang H, Wei Z, Wang S et al. A vision-based obstacle detection system for unmanned surface vehicle. In: 2011 IEEE conference on robotics, automation and mechatronics (RAM), Qingdao, China, 17-19 September 2011, pp. 364-369. IEEE.
    • (2011) 2011 IEEE Conference on Robotics, Automation and Mechatronics (RAM) , pp. 364-369
    • Wang, H.1    Wei, Z.2    Wang, S.3
  • 10
    • 38949164883 scopus 로고
    • A fuzzy reasoning model to decide the collision avoidance action
    • Iwasaki H and Hara K. A fuzzy reasoning model to decide the collision avoidance action. Japan Institute of Navigation 1986; 75: 69-77.
    • (1986) Japan Institute of Navigation , vol.75 , pp. 69-77
    • Iwasaki, H.1    Hara, K.2
  • 11
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    • Automatic collision avoidance system for ships using fuzzy control
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  • 12
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    • Vision-based obstacle collision risk estimation of an unmanned surface vehicle
    • Woo J and Kim N. Vision-Based Obstacle Collision Risk Estimation of an U nmanned Surface Vehicle. Journal of Control Robot System(Korean), Vol. 21, No. 12, pp. 1089-1099, 2015
    • (2015) Journal of Control Robot System(Korean) , vol.21 , Issue.12 , pp. 1089-1099
    • Woo, J.1    Kim, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.