Rear obstacle detection system based on depth from kinect

Jinwook Choi, Deukhyeon Kim, Hunjae Yoo, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper presents a rear obstacle detection system based on depth information obtained from Kinect sensor. The proposed system can be used for parking assistance applications and backup aid. It improves the false detection rate in single view based algorithms by using depth information. In addition, real distance to obstacles can be calculated by depth information. It is possible to alarm to driver effectively according to distance. Although the proposed system is based on conventional edge detection algorithm, we confirm the feasibility of combining depth map with color image by improving the accuracy of detection. Experimental results show that depth fusion based obstacle detection algorithm is more accurate than single view based algorithms in terms of false detection rate.

Original languageEnglish
Title of host publication2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
Pages98-101
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 21
Event2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 - Anchorage, AK, United States
Duration: 2012 Sep 162012 Sep 19

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
CountryUnited States
CityAnchorage, AK
Period12/9/1612/9/19

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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  • Cite this

    Choi, J., Kim, D., Yoo, H., & Sohn, K. (2012). Rear obstacle detection system based on depth from kinect. In 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 (pp. 98-101). [6338794] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2012.6338794