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Volumn , Issue , 2010, Pages 146-150

An image-based object detection method using two cameras

Author keywords

Autonomous vehicle; Computer assisted driving system; Object detection; Tailgating prevention

Indexed keywords

AUTONOMOUS VEHICLES; CAMERA FOCAL LENGTH; COMPUTER ASSISTED; DETECTION ALGORITHM; DRIVING SYSTEMS; IMAGE SIZES; IMAGE-BASED; IMAGE-BASED OBJECTS; LANE DETECTION; MINIMUM TIME; OBJECT DETECTION; OBJECT DETECTION METHOD; SENSITIVE AREA; TAILGATING PREVENTION;

EID: 78650980084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LEITS.2010.5665010     Document Type: Conference Paper
Times cited : (5)

References (6)
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  • 3
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    • Quantitative comparison between trajectory estimates obtained from a binocular camera setup within a moving road vehicle and from the outside by a stationary monocular camera
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    • H.-H. Nagel, F. Heimes, K. Fleischer, M. Haag, H. Leuck, S. Noltemeier. Quantitative comparison between trajectory estimates obtained from a binocular camera setup within a moving road vehicle and from the outside by a stationary monocular camera. Image and Vision Computing, Volume 18, Issue 5, April 2000, Pages 435-444.
    • (2000) Image and Vision Computing , vol.18 , Issue.5 , pp. 435-444
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  • 4
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    • Keeping and Distance Measurement Based on Monocular Vision
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  • 6
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    • Real Time Identification for Objective Images Using Matlab Toolbox
    • in Chinese
    • Zhongming Pan. Real Time Identification for Objective Images Using Matlab Toolbox. Journal of national university of defense technology. Vol 24, No.1, 2002 (in Chinese).
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    • Pan, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.