汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (1): 47-51.doi: 10.19562/j.chinasae.qcgc.2020.01.007

• • 上一篇    下一篇

基于背景光照去除和连通区域的车位检测*

黄晨1,2, 刘泽1, 罗禹贡2, 王永胜2   

  1. 1.江苏大学汽车与交通工程学院,镇江 212013;
    2.清华大学,汽车安全与节能国家重点实验室,北京 100084
  • 收稿日期:2018-12-07 发布日期:2020-01-21
  • 通讯作者: 刘泽,硕士研究生,E-mail:1280113930@qq.com
  • 基金资助:
    *国家自然科学基金(U1564201,51605195)、国家国际科技合作专项(2016YFE0102200)、汽车安全与节能国家重点实验室开放基金(KF1822)和江苏大学科研启动基金(14JDG156)资助。

Parking Space Detection Based on BackgroundIllumination Removal and Connected Regions

Huang Chen1,2, Liu Ze1, Luo Yugong2, Wang Yongsheng2   

  1. 1.School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013;
    2.Tsinghua University, State Key Laboratory of Automotive Safety and Energy, Beijing 100084
  • Received:2018-12-07 Published:2020-01-21

PDF (PC)

473

赞

摘要： 基于视觉的自动泊车系统受光照不均匀的影响较大,且当图像信息较为复杂时,很难对车位做出准确判断,本文中提出了一种基于背景光照去除和连通区域的车位检测方法。使用鱼眼摄像头对车辆周围环境进行拍摄,对拍摄的图像进行处理得到全景鸟瞰图,并将其输入车位识别系统。通过从原始图像中去除背景光照,有效地解决了光照不均匀和背景复杂的问题,并设计了一种基于连通区域的车位提取方法,该方法简化了车位的提取,减少了车位识别的计算量。实验结果表明,所提出的方法可实现对车位的有效识别和精确定位。

关键词: 车位, 二值化, 连通区域, Hough变换

Abstract: The vision-based automatic parking system is susceptible to uneven illumination, and when image information is complicated, it is often difficult to make an accurate judgment on parking spaces. In view of this, a parking space detection method is proposed based on background illumination removal and connected regions. Fish-eye cameras are used to capture the images of the surroundings around the vehicle, a panoramic bird's eye view is obtained by processing the captured images, which is then input into parking space recognition system. The removal of background illumination from initial image effectively solves the problem of uneven illumination and complex background. A parking space extraction method based on connected regions is designed, which simplifies the extraction of parking spaces and reduce the computation efforts in parking space recognition. The results of experiment show that the methods proposed can achieve the effective recognition and accurate location of parking spaces

Key words: parking space, binarization, connected region, Hough transform