{"title":"Lane Estimation using Improved Hough Transform for Isolated and Metro Highway","authors":"Ningthoujam Johny Singh, Kishorjit Nongmeikapam","doi":"10.1109/AIC55036.2022.9848812","DOIUrl":null,"url":null,"abstract":"With the rapid development in technology, there is a need for lane detection system particularly for autonomous vehicle for safe driving thereby preventing accidents. A new lane detection method is proposed which used randomized Hough transform along with image enhancement techniques as preprocessing step. Use of image enhancement techniques provide better segmentation by eliminating unimportant part by defining region of interest. It is found from the experimental result that the proposed system performs better than other existing methods by using precision, recall and fmeasure as evaluation metrics.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC55036.2022.9848812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development in technology, there is a need for lane detection system particularly for autonomous vehicle for safe driving thereby preventing accidents. A new lane detection method is proposed which used randomized Hough transform along with image enhancement techniques as preprocessing step. Use of image enhancement techniques provide better segmentation by eliminating unimportant part by defining region of interest. It is found from the experimental result that the proposed system performs better than other existing methods by using precision, recall and fmeasure as evaluation metrics.