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

Section

ELECTRONICS