{"title":"A Novel Approach To Auto Dipping System Of Vehicles Based On LiDAR","authors":"Shiv Kumar, Vikas K. Garg, Ankit Bansal, K. Singh","doi":"10.1109/ACCESS57397.2023.10199916","DOIUrl":null,"url":null,"abstract":"Automation is part of life these days. Every gadget in our routine lives is part of artificial intelligence these days. Vehicles are also part of this update these days. Almost all the automations around us that concern vehicles are useful. From the auto-engine-check system to the automatic cleaning of the wind screen and the auto-door-lock system to the anti-lock-braking system and the auto-air-bag system, all are useful and are part of vehicle safety these days. Furthermore, the auto-dip system is important in vehicle automation. Nearly 50% of accidents these days are due to bad driving at night. Dipping headlights play a vital role in visibility at night. Several papers have been published in response to this concern about the course of scarcity. Some are widely used in the market, but they have limitations, such as not being able to provide legally required removal or working in every climate. The framework is required and won't influence the exhibition of vehicles. This paper proposes an innovative system of auto-dipping using LiDAR that is accurate and will work in every atmospheric condition. Moreover, the auto-dipping system that is proposed is handy and innumerable in terms of weight.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCESS57397.2023.10199916","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
Automation is part of life these days. Every gadget in our routine lives is part of artificial intelligence these days. Vehicles are also part of this update these days. Almost all the automations around us that concern vehicles are useful. From the auto-engine-check system to the automatic cleaning of the wind screen and the auto-door-lock system to the anti-lock-braking system and the auto-air-bag system, all are useful and are part of vehicle safety these days. Furthermore, the auto-dip system is important in vehicle automation. Nearly 50% of accidents these days are due to bad driving at night. Dipping headlights play a vital role in visibility at night. Several papers have been published in response to this concern about the course of scarcity. Some are widely used in the market, but they have limitations, such as not being able to provide legally required removal or working in every climate. The framework is required and won't influence the exhibition of vehicles. This paper proposes an innovative system of auto-dipping using LiDAR that is accurate and will work in every atmospheric condition. Moreover, the auto-dipping system that is proposed is handy and innumerable in terms of weight.