Vision-based Vehicle Detection Survey

Authors

  • Alex David S Vel Tech university
  • K. Antony Kumar Vel Tech University Chennai Tamil Nadu India
  • S. Ravi Kumar Vel Tech University Chennai Tamil Nadu India

DOI:

https://doi.org/10.3991/ijes.v4i1.5590

Abstract


Nowadays thousands of drivers and passengers were losing their lives every year on road accident, due to deadly crashes between more than one vehicle. There are number of many research focuses were dedicated to the development of intellectual driver assistance systems and autonomous vehicles over the past decade, which reduces the danger by monitoring the on-road environment. In particular, researchers attracted towards the on-road detection of vehicles in recent years. Different parameters have been analyzed in this paper which includes 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. Previous works on the vehicle detection listed based on camera poisons, feature based detection and motion based detection works and night time detection.

Author Biographies

Alex David S, Vel Tech university

Associate Professor CSE

K. Antony Kumar, Vel Tech University Chennai Tamil Nadu India

Assistant Professor
Department of Computer Science and Engineering

S. Ravi Kumar, Vel Tech University Chennai Tamil Nadu India

Assistant Professor
Department of Computer Science and Engineering

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Published

2016-03-29

How to Cite

S, A. D., Kumar, K. A., & Kumar, S. R. (2016). Vision-based Vehicle Detection Survey. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 4(1), pp. 31–35. https://doi.org/10.3991/ijes.v4i1.5590

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Section

Papers