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A Survey on Vehicle Detection based on Vision

Author

Listed:
  • Surender Dhanaekaran
  • Karthi Ramachandran
  • Selvamuthukumar M
  • Nithya Velam
  • Soma Pal

Abstract

Passenger safety in vehicles is the primary concern and hence Vehicle detection for providing enough safety information for Driver Assistant System (DAS) become popular among researchers. Many approaches use different types of information such as shadow, edge, light, to detect the vehicles. Here vision based vehicle detection techniques were summarized. Following topics discussed below, camera placement and the various applications of monocular vehicle detection, common features and common classification methods, motion- based approaches and nighttime vehicle detection and monocular pose estimation.Â

Suggested Citation

  • Surender Dhanaekaran & Karthi Ramachandran & Selvamuthukumar M & Nithya Velam & Soma Pal, 2015. "A Survey on Vehicle Detection based on Vision," Modern Applied Science, Canadian Center of Science and Education, vol. 9(12), pages 118-118, November.
    • Handle: RePEc:ibn:masjnl:v:9:y:2015:i:12:p:118
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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