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Volumn , Issue , 2013, Pages 4363-4369

Vehicle trajectory prediction based on motion model and maneuver recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION MOTIONS; AUTONOMOUS VEHICLES; CURVILINEAR MODEL; MANEUVER RECOGNITION; MOTION MODELING; REAL DRIVINGS; TRAJECTORY PREDICTION; VEHICLE TRAJECTORY PREDICTIONS;

EID: 84893789451     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2013.6696982     Document Type: Conference Paper
Times cited : (423)

References (16)
  • 11
    • 0028699069 scopus 로고
    • Extracting road curvature and orientation from image edge points without perceptual grouping into features
    • France, Oct
    • K. Kluge, "Extracting road curvature and orientation from image edge points without perceptual grouping into features," IEEE Intelligent Vehicles Symposium, Paris, France, Oct 1994.
    • (1994) IEEE Intelligent Vehicles Symposium, Paris
    • Kluge, K.1
  • 13
    • 0039278333 scopus 로고
    • A note on the ratio of two normally distributed variables
    • Jul
    • J. Hayya, D. Armstrong, and N. Gressis, "A note on the ratio of two normally distributed variables.," Management Science, Jul 1975.
    • (1975) Management Science
    • Hayya, J.1    Armstrong, D.2    Gressis, N.3
  • 16
    • 84864964999 scopus 로고    scopus 로고
    • Learning lane change trajectories from on-road driving data
    • Alcala de Henares, Spain, June
    • W. Yao, H. Zhao, F. Davoine, and H. Zha, "Learning lane change trajectories from on-road driving data," IEEE Intelligent Vehicles Symposium, Alcala de Henares, Spain, June 2012.
    • (2012) IEEE Intelligent Vehicles Symposium
    • Yao, W.1    Zhao, H.2    Davoine, F.3    Zha, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.