{"title":"基于RP激光雷达的自动驾驶汽车设计与控制","authors":"Areesha Ikhtiar, Dureshahwar Qurban, S. Samo","doi":"10.1109/ICRAI57502.2023.10089600","DOIUrl":null,"url":null,"abstract":"Self-driving vehicles are the core of futuristic mobile robots that do not require human involvement. Road accidents are one of the prominent challenges in society and to minimize the road accident rate, caused by the poor decision-making of people, autonomous vehicles are the best conclusion. This study uses RPLidar A1 to perform 2-D mapping. The suggested algorithm can detect and avoid obstacles and reach the desired location. The design of a self-driving vehicle is developed and evaluated in such a way that it can be used in a variety of situations in which all kinds of obstacles can be detected and avoided whether they are static or dynamic because this vehicle uses a real-time scanning and reacting algorithm which can detect the instantaneous motion of obstacles along with the current position. while designing for a real application, the static and dynamic circumstances of barriers have been taken into account.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Control of a Self-Driving Vehicle using RP Lidar\",\"authors\":\"Areesha Ikhtiar, Dureshahwar Qurban, S. Samo\",\"doi\":\"10.1109/ICRAI57502.2023.10089600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Self-driving vehicles are the core of futuristic mobile robots that do not require human involvement. Road accidents are one of the prominent challenges in society and to minimize the road accident rate, caused by the poor decision-making of people, autonomous vehicles are the best conclusion. This study uses RPLidar A1 to perform 2-D mapping. The suggested algorithm can detect and avoid obstacles and reach the desired location. The design of a self-driving vehicle is developed and evaluated in such a way that it can be used in a variety of situations in which all kinds of obstacles can be detected and avoided whether they are static or dynamic because this vehicle uses a real-time scanning and reacting algorithm which can detect the instantaneous motion of obstacles along with the current position. while designing for a real application, the static and dynamic circumstances of barriers have been taken into account.\",\"PeriodicalId\":447565,\"journal\":{\"name\":\"2023 International Conference on Robotics and Automation in Industry (ICRAI)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Robotics and Automation in Industry (ICRAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRAI57502.2023.10089600\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAI57502.2023.10089600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Control of a Self-Driving Vehicle using RP Lidar
Self-driving vehicles are the core of futuristic mobile robots that do not require human involvement. Road accidents are one of the prominent challenges in society and to minimize the road accident rate, caused by the poor decision-making of people, autonomous vehicles are the best conclusion. This study uses RPLidar A1 to perform 2-D mapping. The suggested algorithm can detect and avoid obstacles and reach the desired location. The design of a self-driving vehicle is developed and evaluated in such a way that it can be used in a variety of situations in which all kinds of obstacles can be detected and avoided whether they are static or dynamic because this vehicle uses a real-time scanning and reacting algorithm which can detect the instantaneous motion of obstacles along with the current position. while designing for a real application, the static and dynamic circumstances of barriers have been taken into account.