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Volumn 5609, Issue , 2004, Pages 97-108

Towards autonomous on-road driving via multi-resolutional and hierarchical moving object prediction

Author keywords

Autonomous vehicle; Hierarchical; Moving object prediction; On road driving; PRIDE

Indexed keywords

ALGORITHMS; HIERARCHICAL SYSTEMS; INTELLIGENT CONTROL; KALMAN FILTERING; MATHEMATICAL MODELS; MOBILE ROBOTS; OBJECT RECOGNITION; REAL TIME SYSTEMS;

EID: 17644384823     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.580172     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 6
    • 15844424154 scopus 로고    scopus 로고
    • Combination of car following and lane changing models as a drivers' optimization process
    • Reston, ASCE and T&DI, 0-7844-0730-4
    • Hoseini, S., Vaziri, M., Shafahi, Y., "Combination of Car Following and Lane Changing Models as a Drivers' Optimization Process", Applications of Advanced Technologies in Transportation Engineering, Reston, ASCE and T&DI, 0-7844-0730-4, pp. 601-605, 2004.
    • (2004) Applications of Advanced Technologies in Transportation Engineering , pp. 601-605
    • Hoseini, S.1    Vaziri, M.2    Shafahi, Y.3
  • 7
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R., "A New Approach to Linear Filtering and Prediction Problems", Transactions of the ASME Journal of Basic Engineering, Vol. 82, No. Series D, pp. 35-45, 1960.
    • (1960) Transactions of the ASME Journal of Basic Engineering , vol.82 , Issue.SERIES D , pp. 35-45
    • Kalman, R.1
  • 10
    • 3042671042 scopus 로고    scopus 로고
    • A hierarchical, multi-resolutional moving object prediction approach for autonomous on-road driving
    • Schlenoff, C., Madhavan, R., and Barbera, T., "A Hierarchical, Multi-Resolutional Moving Object Prediction Approach for Autonomous On-Road Driving", Proceedings of the 2004 ICRA Conference, 2004.
    • (2004) Proceedings of the 2004 ICRA Conference
    • Schlenoff, C.1    Madhavan, R.2    Barbera, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.