{"title":"自动代客泊车实验","authors":"Dániel Doba, Árpád Fehér, Lászlo Szőke","doi":"10.1109/CogMob55547.2022.10117939","DOIUrl":null,"url":null,"abstract":"With the evolution of the automotive industry, professionals' knowledge needs to be broadened, and new methods for their training are required. For this purpose, we present a demonstration vehicle built at the Budapest University of Technology and Economics (BME), together with the solution to the challenging task of automated valet parking. This functionality serves as a baseline that covers most of the needed functionalities in the future autonomous vehicles. In this demo paper we report about the experimental vehicle, path planning and path following, LiDAR-based pedestrian detection and V2X communication that we implemented.","PeriodicalId":430975,"journal":{"name":"2022 IEEE 1st International Conference on Cognitive Mobility (CogMob)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Automated Valet Parking Experiment\",\"authors\":\"Dániel Doba, Árpád Fehér, Lászlo Szőke\",\"doi\":\"10.1109/CogMob55547.2022.10117939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the evolution of the automotive industry, professionals' knowledge needs to be broadened, and new methods for their training are required. For this purpose, we present a demonstration vehicle built at the Budapest University of Technology and Economics (BME), together with the solution to the challenging task of automated valet parking. This functionality serves as a baseline that covers most of the needed functionalities in the future autonomous vehicles. In this demo paper we report about the experimental vehicle, path planning and path following, LiDAR-based pedestrian detection and V2X communication that we implemented.\",\"PeriodicalId\":430975,\"journal\":{\"name\":\"2022 IEEE 1st International Conference on Cognitive Mobility (CogMob)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 1st International Conference on Cognitive Mobility (CogMob)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CogMob55547.2022.10117939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 1st International Conference on Cognitive Mobility (CogMob)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CogMob55547.2022.10117939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the evolution of the automotive industry, professionals' knowledge needs to be broadened, and new methods for their training are required. For this purpose, we present a demonstration vehicle built at the Budapest University of Technology and Economics (BME), together with the solution to the challenging task of automated valet parking. This functionality serves as a baseline that covers most of the needed functionalities in the future autonomous vehicles. In this demo paper we report about the experimental vehicle, path planning and path following, LiDAR-based pedestrian detection and V2X communication that we implemented.
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