Parking Slot Marking Recognition Algorithm in Parking Assist System

doi:10.13474/j.cnki.11-2246.2017.0219

Abstract

Abstract: A new method based on improved Hough transform is proposed. Firstly, the local pixel distribution is used to eliminate the influence of outliers. Then, the suitable interval of the linear gradient to the edge of the parking line is adaptively selected based on the pixel histogram. Finally, the selected lines are identified by judging the gray relation,and thus the parking slot marking can be recognized. Compared with the traditional Hough transform and the improved random Hough transform based on the gradient direction region (Grad-RHT),the proposed algorithm achieved a better recognition results and robustness under all kinds of interference background keeping the running efficiency of Grad-RHT.

Key words: parking slot marking recognition, Hough transform, local pixel distribution, gradient direction interval, gray variation

CLC Number:

WU Xiaogang. Parking Slot Marking Recognition Algorithm in Parking Assist System[J]. 测绘通报, 2017, 0(7): 34-38.

References

[1] YAN G, YANG W, RAWAT D B,et al. SmartParking:A Secure and Intelligent Parking System[J]. IEEE Intelligent Transportation Systems Magazine, 2011, 3(1):18-30.
[2] HUANG C C, WANG S J. A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection[J]. IEEE Transactions on Circuits and Systems for Video Technology,2011, 20(12):1770-1785.
[3] JEONG S H,CHOI C G, OH J N,et al. Low Cost Design of Parallel Parking Assist System Based on an Ultrasonic Sensor[J]. International Journal of Automotive Technology, 2010, 11(3):409-416.
[4] XU J, CHEN G, XIE M. Vision-guided Automatic Parking for Smart Car[J]. IEEE Intelligent Vehicles Symposium, 2000(10):725-730.
[5] DU X,TAN K K. Autonomous Reverse Parking System Based on Robust Path Generation and Improved Sliding Mode Control[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(3):1225-1237.
[6] HUANG C C, TAI Y S, WANG S J. Vacant Parking Space Detection Based on Plane-based Bayesian Hierarchical Framework[J]. IEEE Transactions on Circuits and Systems for Video Technology,2013,23(9):1598-1610.
[7] JUNG H G. Semi-automatic Parking Slot Marking Recognition for Intelligent Parking Assist Systems[J]. Journal of Engineering,2013(1):106-113.
[8] WANG X, WANG C, YANG M, et al. Automatic Parking Based on a Bird's Eye View Cameras[J]. Journal of Shanghai Jiaotong University, 2013, 47(7):1077-1081.
[9] SUHR J K, JUNG H G. Automatic Parking Space Detection and Tracking for Underground and Indoor Environments[J]. IEEE Transactions on Industrial Electronics, 2016, 63(9):5687-5698..
[10] 张帆, 高云龙, 黄先锋,等. 基于球面投影的单站地面激光点云直线段提取方法[J].测绘学报, 2015,44(6):654-662.
[11] 李明磊, 李广云, 王力,等. 3D Hough Transform在激光点云特征提取中的应用[J]. 测绘通报, 2015(2):29-33.
[12] 王竞雪, 朱庆, 张云生,等. 叠置分区辅助的相位编组直线提取算法[J].测绘学报, 2015,44(6):768-790.
[13] 戴激光, 宋伟东, 李建军. 一种有效的直线提取算法[J]. 测绘通报, 2012(11):59-61.
[14] 滕今朝, 邱杰. 利用Hough变换实现直线的快速精确检测[J]. 中国图象图形学报, 2008, 13(2):234-237.
[15] 陈珂, 吴建平, 李金祥,等. 一维概率Hough变换的实时鲁棒多圆检测方法[J]. 计算机辅助设计与图形学学报, 2015, 27(10):1832-1841.
[16] BURNS J B, HANSON A R,RISEMAN E M. Extracting Straight Lines[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1986, 8(4):425-455.
[17] 周绍光, 陈超, 岳建平. 形状先验和图割的高分辨率遥感影像道路段提取[J]. 测绘学报, 2014, 43(1):60-65.
[18] 张江鑫, 沈小兰, 王辉,等. 快速随机Hough变换多直线检测算法[J]. 浙江工业大学学报, 2013, 41(3):346-350.