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Author:

Zheng, Kun (Zheng, Kun.) (Scholars:郑坤) | Sun, Guangmin (Sun, Guangmin.) (Scholars:孙光民) | Fan, Qingwu (Fan, Qingwu.) | Wang, Xiaomeng (Wang, Xiaomeng.) | Zhang, Qing (Zhang, Qing.) | Jia, Linan (Jia, Linan.)

Indexed by:

EI Scopus

Abstract:

Using OpenCV, a lane recognition system is designed. In this study, a lightweight approach is proposed to real-time detection of lanes using ROI (region of interest) based on priority setting. The traditional ROI is further divided into two regions of different priorities. The left line of the lane, detected in the left region, is given a higher priority. And it can deduce the other line of the Lane using camera calibration. It implements the fast lane detection and generation combined with Hough transform. Experimental results show the method has significant high output effectiveness. It reduces the time of image processing, and improves the real-time performance of the system. Even if the road information completely lost, the system could mark lane for temporary help. © 2013 IEEE.

Keyword:

Hough transforms Image segmentation Image enhancement

Author Community:

  • [ 1 ] [Zheng, Kun]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Sun, Guangmin]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Fan, Qingwu]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Wang, Xiaomeng]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhang, Qing]Department of Electronic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Jia, Linan]Department of Electronic Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Year: 2013

Page: 183-186

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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