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Volumn 32, Issue 3, 2012, Pages 285-302

Safety assessment of robot trajectories for navigation in uncertain and dynamic environments

Author keywords

Motion planning; Robot safety; Safety assessment

Indexed keywords

CANDIDATE TRAJECTORIES; COLLISION PROBABILITY; COST METRICS; DYNAMIC ENVIRONMENTS; IMPERFECT INFORMATION; MOTION TRAJECTORIES; MULTIPLE MOVING OBJECTS; PLANNING HORIZONS; PROBABILISTIC FRAMEWORK; PROBABILISTIC REASONING; ROBOT SAFETY; ROBOT TRAJECTORY; SAFETY ASSESSMENTS; UNCERTAIN ENVIRONMENTS;

EID: 84862144715     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10514-011-9257-9     Document Type: Article
Times cited : (73)

References (42)
  • 3
    • 0037262814 scopus 로고    scopus 로고
    • An introduction to mcmc for machine learning
    • doi:10.1023/A:1020281327116
    • Andrieu, C., de Freitas, N., Doucet, A., & Jordan, M. I. (2003). An introduction to mcmc for machine learning. Machine Learning, 50, 5-43. doi:10.1023/A:1020281327116.
    • (2003) Machine Learning , vol.50 , pp. 5-43
    • Andrieu, C.1    De Freitas, N.2    Doucet, A.3    Jordan, M.I.4
  • 8
    • 44649107771 scopus 로고    scopus 로고
    • An overview of existing methods and recent advances in sequential Monte Carlo
    • doi:10.1109/JPROC. 2007.893250
    • Cappe, O., Godsill, S., & Moulines, E. (2007). An overview of existing methods and recent advances in sequential Monte Carlo. Proceedings of the IEEE, 95(5), 899-924. doi:10.1109/JPROC. 2007.893250.
    • (2007) Proceedings of the IEEE , vol.95 , Issue.5 , pp. 899-924
    • Cappe, O.1    Godsill, S.2    Moulines, E.3
  • 11
    • 40349113443 scopus 로고    scopus 로고
    • Statistical threat assessment for general road scenes using Monte Carlo sampling
    • DOI 10.1109/TITS.2007.909241, 4414362
    • Eidehall, A., & Petersson, L. (2008). Statistical threat assessment for general road scenes using Monte Carlo sampling. IEEE Transactions on Intelligent Transportation Systems, 9, 137-147. (Pubitemid 351337437)
    • (2008) IEEE Transactions on Intelligent Transportation Systems , vol.9 , Issue.1 , pp. 137-147
    • Eidehall, A.1    Petersson, L.2
  • 12
    • 0032117370 scopus 로고    scopus 로고
    • Motion planning in dynamic environments using velocity obstacles
    • Fiorini, P., & Shillert, Z. (1998). Motion planning in dynamic environments using velocity obstacles. International Journal of Robotics Research, 17, 760-772. (Pubitemid 128556996)
    • (1998) International Journal of Robotics Research , vol.17 , Issue.7 , pp. 760-772
    • Fiorini, P.1    Shiller, Z.2
  • 13
    • 0032690320 scopus 로고    scopus 로고
    • Trajectory planning in a dynamic workspace: A 'state-time space' approach
    • Fraichard, T. (1999). Trajectory planning in a dynamic workspace: a 'state-time space' approach. Advanced Robotics, 13, 75-94.
    • (1999) Advanced Robotics , vol.13 , pp. 75-94
    • Fraichard, T.1
  • 14
    • 36349010220 scopus 로고    scopus 로고
    • A short paper about motion safety
    • DOI 10.1109/ROBOT.2007.363138, 4209242, 2007 IEEE International Conference on Robotics and Automation, ICRA'07
    • Fraichard, T. (2007). A short paper about motion safety. In Proc. of the IEEE international conference on robotics and automation (pp. 1140-1145). (Pubitemid 350140337)
    • (2007) Proceedings - IEEE International Conference on Robotics and Automation , pp. 1140-1145
    • Fraichard, T.1
  • 15
    • 11144296376 scopus 로고    scopus 로고
    • Inevitable collision states - A step towards safer robots
    • DOI 10.1163/1568553042674662
    • Fraichard, T., & Asama, H. (2004). Inevitable collision states. A step towards safer robots? Advanced Robotics, 18, 1001-1024. (Pubitemid 40020878)
    • (2004) Advanced Robotics , vol.18 , Issue.10 , pp. 1001-1024
    • Fraichard, T.1    Asama, H.2
  • 17
    • 0030421708 scopus 로고    scopus 로고
    • Obb-tree: A hierarchical structure for rapid interference detection
    • Gottschalk, S., Lin, M. C., & Manocha, D. (1996). Obb-tree: a hierarchical structure for rapid interference detection. In Proc. on ACM Siggraph 96.
    • (1996) Proc. on ACM Siggraph 96
    • Gottschalk, S.1    Lin, M.C.2    Manocha, D.3
  • 19
    • 84874286884 scopus 로고
    • Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering
    • Handschin, J., & Mayne, D. (1969). Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering. International Journal of Control, 9, 547-559.
    • (1969) International Journal of Control , vol.9 , pp. 547-559
    • Handschin, J.1    Mayne, D.2
  • 24
    • 33748919305 scopus 로고    scopus 로고
    • Recursive probabilistic velocity obstacles for reflective navigation
    • DOI 10.1007/10991459-8, Robotics: Recent Advances in Research and Applications
    • Kluge, B., & Prassler, E. (2006). Recursive probabilistic velocity obstacles for reflective navigation. In S. Yuta, H. Asama, E. Prassler, T. Tsubouchi, & S. Thrun (Eds.), Springer tracts in advanced robotics: Vol. 24. Field and service robotics (pp. 71-79). Berlin: Springer. (Pubitemid 44430487)
    • (2006) Springer Tracts in Advanced Robotics , vol.24 , pp. 71-79
    • Kluge, B.1    Prassler, E.2
  • 25
    • 60749121036 scopus 로고    scopus 로고
    • Collision probability assessment for speed control
    • Lambert, A., Gruyer, D., Pierre, G. S., & Ndjeng, A. N. (2008). Collision probability assessment for speed control. In ITSC (pp. 1043-1048).
    • (2008) ITSC , pp. 1043-1048
    • Lambert, A.1    Gruyer, D.2    Pierre, G.S.3    Ndjeng, A.N.4
  • 31
    • 0028462992 scopus 로고
    • Motion planning in the presence of moving obstacles
    • Reif, J., & Sharir, M. (1994). Motion planning in the presence of moving obstacles. Journal of the ACM, 41, 764-790.
    • (1994) Journal of the ACM , vol.41 , pp. 764-790
    • Reif, J.1    Sharir, M.2
  • 35
    • 66149171625 scopus 로고    scopus 로고
    • A probabilistic model of human motion and navigation intent for mobile robot path planning
    • doi:10.1109/ICARA.2000.4803931
    • Thompson, S., Horiuchi, T., & Kagami, S. (2009). A probabilistic model of human motion and navigation intent for mobile robot path planning. In Proc. of int. conference on autonomous robots and agents (pp. 663-668), doi:10.1109/ICARA.2000.4803931.
    • (2009) Proc. of Int. Conference on Autonomous Robots and Agents , pp. 663-668
    • Thompson, S.1    Horiuchi, T.2    Kagami, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.