Avoiding Forward Car Collision using Stereo Vision System

Authors

  • Tadas Surgailis Kaunas University of Technology
  • Algimantas Valinevicius Kaunas University of Technology
  • Vytautas Markevicius Kaunas University of Technology
  • Dangirutis Navikas Kaunas University of Technology
  • Darius Andriukaitis Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.eee.18.8.2609

Keywords:

automotive electronics, vehicle detection, vehicle driving, object recognition

Abstract

This paper presents a model of stereo vision system for intelligent vehicles to avoid forward car collision. Approached vehicle extraction and distance estimation algorithm based on dense edge map calculation and ROI filter. Primary experiments have been executed modeling vision system in a virtual computer reality. Special developed software has been used to simulate virtual environment and vision system. Results shows that approached algorithm successfully extracted not only vehicles but and other potential obstacles, such as, pedestrians.

DOI: http://dx.doi.org/10.5755/j01.eee.18.8.2609

Downloads

Published

2012-10-17

How to Cite

Surgailis, T., Valinevicius, A., Markevicius, V., Navikas, D., & Andriukaitis, D. (2012). Avoiding Forward Car Collision using Stereo Vision System. Elektronika Ir Elektrotechnika, 18(8), 37-40. https://doi.org/10.5755/j01.eee.18.8.2609

Issue

Vol. 18 No. 8 (2012)

Section

ELECTRONICS

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.