Vehicle parking guidance system based on omni-directional vision sensor

doi:10.3778/j.issn.1002-8331.2009.07.072

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (7): 238-243.DOI: 10.3778/j.issn.1002-8331.2009.07.072

• 工程与应用 • Previous Articles Next Articles

Vehicle parking guidance system based on omni-directional vision sensor

TANG Yi-ping¹,JIN Hai-min¹,SHEN Yong-ji¹,HE Wu-jie¹,ZHANG Jian-yue²,ZHANG Jue²

1.College of Information Engineering，Zhejiang University of Technology，Hangzhou 310014，China
2.Hangzhou Traffic Police Team，Hangzhou 310032，China

Received:2008-01-18 Revised:2008-04-02 Online:2009-03-01 Published:2009-03-01
Contact: TANG Yi-ping

基于全方位视觉传感器的泊车诱导系统

汤一平¹,金海民¹,沈永基¹,贺武杰¹,张建跃²,张珏²

1.浙江工业大学信息工程学院，杭州 310014
2.杭州市交警支队，杭州 310032

通讯作者: 汤一平

Abstract

Abstract: Vehicle parking guidance is an important part in Intelligent Transportation System（ITS）.This paper discusses how to acquire video information of parking spaces by using Omni-Directional Vision Sensor（ODVS），studies the use of image processing algorithm，such as color model algorithm，edge detection algorithm，and etc.in video spaces detection，and proposes the association mapping methods of video detection parking space and various information dissemination parking space considering vehicle parking guidance information dissemination.

Key words: Intelligent Transportation System（ITS）, vehicle parking guidance system, Omni-Directional Vision Sensor（ODVS）, parking space detection, image process

摘要： 交通泊车诱导是智能交通管理（ITS）中一个重要组成部分。探讨了采用全方位视觉传感器采集停车场内的停车位视频信息，研究了基于颜色模型的算法、边缘检测算法等图像处理方法用于视频车位检测，从停车诱导发布角度出发提出了视频车位检测空间与各种泊车信息发布空间之间的映射关联方法。

关键词: 智能交通, 泊车诱导系统, 全方位视觉传感器, 车位检测, 图像处理

TANG Yi-ping¹,JIN Hai-min¹,SHEN Yong-ji¹,HE Wu-jie¹,ZHANG Jian-yue²,ZHANG Jue². Vehicle parking guidance system based on omni-directional vision sensor[J]. Computer Engineering and Applications, 2009, 45(7): 238-243.

汤一平¹,金海民¹,沈永基¹,贺武杰¹,张建跃²,张珏². 基于全方位视觉传感器的泊车诱导系统[J]. 计算机工程与应用, 2009, 45(7): 238-243.

[1]	RAN Rong, XU Xinghua, QIU Shaohua, CUI Xiaopeng, OUYANG Bin. Review of Crack Detection Methods Based on Deep Convolutional Neural Networks [J]. Computer Engineering and Applications, 2021, 57(9): 23-35.
[2]	ZHANG Bo, XU Liming, HUANG Zhiwei, YAO Xiaopeng. Multi-objective GANs Pareto Optimality Algorithm Using Gradient Strategy [J]. Computer Engineering and Applications, 2021, 57(9): 89-95.
[3]	HU Wentao, CHEN Xiuhong. Low-Rank Projection Learning Based on Neighbor Graph [J]. Computer Engineering and Applications, 2021, 57(7): 209-214.
[4]	YANG Peiwei, ZHOU Yuhong, XING Gang, TIAN Zhiqiang, XU Xiayu. Applications of Convolutional Neural Network in Biomedical Image [J]. Computer Engineering and Applications, 2021, 57(7): 44-58.
[5]	YUN Xu, SONG Huansheng, LIANG Haoxiang, HOU Jingyan, DAI Zhe. Personnel Behavior Analysis System for Key Positions Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(6): 225-231.
[6]	LU Wei, LIU Dan, SHAO Min, WU Yangdong. Application of Improved Mask R-CNN Network in Medical Image Recognition and Segmentation [J]. Computer Engineering and Applications, 2021, 57(24): 234-241.
[7]	ZHANG De, LIN Qingyu, GUO Maozu. Review of Single Image Super-Resolution Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(22): 28-41.
[8]	LI Xiangxia, XIE Xian, LI Bin, YIN Hua, XU Bo, ZHENG Xinwei. Application of Generative Adversarial Networks in Medical Image Processing [J]. Computer Engineering and Applications, 2021, 57(18): 24-37.
[9]	LIN Benfeng, WANG Cheng, SUN Yuecheng. Switch State Detection Method Based on LSD Algorithm and Deep Learning [J]. Computer Engineering and Applications, 2021, 57(17): 181-189.
[10]	XU Yangyang，LI Wei，WANG Jie. Optimization of Robot Delay Using Events and Deadline Control [J]. Computer Engineering and Applications, 2021, 57(17): 260-268.
[11]	WANG Yingxuan, SONG Huansheng, LIANG Haoxiang, YU Xiaoyu, YUN Xu. Highway Vehicle Object Detection Based on Improved YOLOv4 Method [J]. Computer Engineering and Applications, 2021, 57(13): 218-226.
[12]	CHEN Shaojie, ZHAO Gansen, LIN Chengchuang, PENG Jing, HUANG Kaixin, LI Zhuangwei, HUANG Runhua, DU Jiahua, FAN Xiaomao. Survey of Application of Deep Learning in Chromosome Segmentation [J]. Computer Engineering and Applications, 2021, 57(11): 46-56.
[13]	HU Wentao, CHEN Xiuhong. Robust Sparse Subspace Learning Based on Locality Preserving Projections [J]. Computer Engineering and Applications, 2021, 57(10): 194-199.
[14]	WANG Fan, ZHOU Guoqing, ZHANG Rongting, LIU Dequan. FPGA-Oriented Fast Connected Component Labeling Method [J]. Computer Engineering and Applications, 2020, 56(22): 230-235.
[15]	PAN Weihua, DU Xu. Three-Edge Filtering Stereo Matching Algorithm Based on Improved Adaptive Support Weight [J]. Computer Engineering and Applications, 2020, 56(18): 186-192.

Vehicle parking guidance system based on omni-directional vision sensor

基于全方位视觉传感器的泊车诱导系统

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics