Siegfried Seebacher, Bernd Datler, Jacqueline Erhart, Gerhard Greiner, M. Harrer, Peter Hrassnig, Arnold Präsent, C. Schwarzl, Martin Ullrich
{"title":"Infrastructure data fusion for validation and future enhancements of autonomous vehicles' perception on Austrian motorways","authors":"Siegfried Seebacher, Bernd Datler, Jacqueline Erhart, Gerhard Greiner, M. Harrer, Peter Hrassnig, Arnold Präsent, C. Schwarzl, Martin Ullrich","doi":"10.1109/ICCVE45908.2019.8965142","DOIUrl":null,"url":null,"abstract":"Ahstract-The electronic horizon of a vehicle is limited by the range of the different sensor technologies. In contrast, infrastructure sensor data can track the traffic flow and even single vehicles from a bird's perspective, and this data can be used to post-validate driving maneuvers by comparing a vehicle's on-board sensor data with the infrastructure data. In the future, this data could even be used to enhance autonomous vehicles' perception. This paper highlights the achievements in data fusion of state-of-the-art and novel infrastructure sensor data and their planned use for the vehicle-to-infrastructure communication.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE45908.2019.8965142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Ahstract-The electronic horizon of a vehicle is limited by the range of the different sensor technologies. In contrast, infrastructure sensor data can track the traffic flow and even single vehicles from a bird's perspective, and this data can be used to post-validate driving maneuvers by comparing a vehicle's on-board sensor data with the infrastructure data. In the future, this data could even be used to enhance autonomous vehicles' perception. This paper highlights the achievements in data fusion of state-of-the-art and novel infrastructure sensor data and their planned use for the vehicle-to-infrastructure communication.