{"title":"自动驾驶汽车避障路径规划研究与分析","authors":"Lv Qinyang","doi":"10.1109/CONF-SPML54095.2021.00050","DOIUrl":null,"url":null,"abstract":"Obstacle avoidance path planning is a key technology for autonomous vehicles in identifying obstacles and avoiding obstacles, which is of great significance to the development of autonomous driving technology. This article gives an overview of traditional algorithms and intelligent algorithms related to obstacle avoidance path planning technology for autonomous vehicles, analyzes, compares and summarizes the advantages and disadvantages of each algorithm, and introduces their combined application. Comprehensively considering the advantages and disadvantages of using a single algorithm to plan obstacle avoidance paths in practical applications, it is found that a single algorithm shows drawbacks in a dynamic environment, such as poor computing power. Therefore, it is concluded that the use of multiple algorithms can make up for the shortcomings of a single algorithm, which has many advantages and will be focus of automatic obstacle avoidance research in the future.","PeriodicalId":415094,"journal":{"name":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and Analysis of Obstacle Avoidance Path Planning for Autonomous Vehicles\",\"authors\":\"Lv Qinyang\",\"doi\":\"10.1109/CONF-SPML54095.2021.00050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Obstacle avoidance path planning is a key technology for autonomous vehicles in identifying obstacles and avoiding obstacles, which is of great significance to the development of autonomous driving technology. This article gives an overview of traditional algorithms and intelligent algorithms related to obstacle avoidance path planning technology for autonomous vehicles, analyzes, compares and summarizes the advantages and disadvantages of each algorithm, and introduces their combined application. Comprehensively considering the advantages and disadvantages of using a single algorithm to plan obstacle avoidance paths in practical applications, it is found that a single algorithm shows drawbacks in a dynamic environment, such as poor computing power. Therefore, it is concluded that the use of multiple algorithms can make up for the shortcomings of a single algorithm, which has many advantages and will be focus of automatic obstacle avoidance research in the future.\",\"PeriodicalId\":415094,\"journal\":{\"name\":\"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONF-SPML54095.2021.00050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONF-SPML54095.2021.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Analysis of Obstacle Avoidance Path Planning for Autonomous Vehicles
Obstacle avoidance path planning is a key technology for autonomous vehicles in identifying obstacles and avoiding obstacles, which is of great significance to the development of autonomous driving technology. This article gives an overview of traditional algorithms and intelligent algorithms related to obstacle avoidance path planning technology for autonomous vehicles, analyzes, compares and summarizes the advantages and disadvantages of each algorithm, and introduces their combined application. Comprehensively considering the advantages and disadvantages of using a single algorithm to plan obstacle avoidance paths in practical applications, it is found that a single algorithm shows drawbacks in a dynamic environment, such as poor computing power. Therefore, it is concluded that the use of multiple algorithms can make up for the shortcomings of a single algorithm, which has many advantages and will be focus of automatic obstacle avoidance research in the future.