Application and evaluation about obstacle edge extraction technology in the parking assistant system
- DOI
- 10.2991/ijcis.2011.4.6.27How to use a DOI?
- Keywords
- Parking assistant system; Obstacles edge detection; Hough transform; Sobel operator; Subjective evaluation.
- Abstract
The obstacle edge detection technology used in the parking assistant system helps drivers avoid obstacles, especially for inexperienced drivers. Reversing image processing, as part of smart driving, must meet the parking requirements of real-time and accuracy. Processing system should convert the color images from CCD camera to grayscale, abate noise and immunity with non-linear median filtering. And the Sobel operator that of real-time and accuracy is used in edge detection; adaptive valve segmentation technique separates these points in time for improving Hough transform identification. In order to identify the obstacles for drivers in reversing at once, it also need to be given the edge lines thicker, warning color and superimposed displayed with the original image on the terminal screen, so that the whole process can make the parking assistant system more accurate, consistent and quickly to show information.
- Copyright
- © 2011, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Sang Feng AU - Xingbin Chen AU - Shuohua Chen AU - Xiao Lu PY - 2011 DA - 2011/12/01 TI - Application and evaluation about obstacle edge extraction technology in the parking assistant system JO - International Journal of Computational Intelligence Systems SP - 1342 EP - 1349 VL - 4 IS - 6 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.6.27 DO - 10.2991/ijcis.2011.4.6.27 ID - Feng2011 ER -