메뉴 건너뛰기




Volumn 1, Issue , 2010, Pages 313-318

Visible-infrared fusion in the frame of an obstacle recognition system

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FUSION; CLASSIFICATION SCHEME; EARLY FUSION; FEATURE LEVEL; FEATURE VECTORS; FINAL DECISION; ILLUMINATION CONDITIONS; INFRARED IMAGES; LATE FUSION; MATCHING SCORE; MONOMODAL; MULTIPLE KERNELS; OBSTACLE RECOGNITION; OPTIMUM-WEIGHTING; SIMPLE KERNEL; SVM CLASSIFIERS;

EID: 77958550226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AQTR.2010.5520865     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 1
    • 4544255203 scopus 로고    scopus 로고
    • Stereo vision-based feature extraction for vehicle detection
    • June 17-21
    • A. Bensrhair et al., "'Stereo Vision-based Feature Extraction for vehicle detection"', In Procs. IEEE Intelligent Vehicles Symposium, volume 2, pages 465-470, June 17-21, 2002.
    • (2002) Procs. IEEE Intelligent Vehicles Symposium , vol.2 , pp. 465-470
    • Bensrhair, A.1
  • 8
    • 70449572686 scopus 로고    scopus 로고
    • Obstacle recognition using multiple kernel in visible and infrared images
    • Xian, China, June 02-05
    • A. Apatean, A. Rogozan, A. Bensrhair, "Obstacle Recognition using Multiple Kernel in Visible and Infrared Images", IEEE Intelligent Vehicles Symposium, pp.370-375, Xian, China, June 02-05, 2009.
    • (2009) IEEE Intelligent Vehicles Symposium , pp. 370-375
    • Apatean, A.1    Rogozan, A.2    Bensrhair, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.