Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz
{"title":"How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software","authors":"Tobias Betz, Maximilian Schmeller, Harun Teper, Johannes Betz","doi":"10.1109/IV55152.2023.10186585","DOIUrl":null,"url":null,"abstract":"Violations of real-time properties and high latencies have emerged as crucial issues in autonomous vehicles since they can lead to unwanted vehicle behavior and critical maneuvers. Our study aims to provide a comprehensive understanding of latencies in a software stack for autonomous vehicles. In this paper, we present an evaluation workflow to inspect software and the occurring latencies for ROS 2 applications. This workflow was used to analyze the open-source autonomous driving stack Autoware. Universe by showing the influence of different soft- and hardware configurations. Our focus is on the evaluation of end-to-end, communication, computation, and idle latencies. Based on the results, we show the bottlenecks and motivate future directions to optimize ROS 2 autonomous driving software.","PeriodicalId":195148,"journal":{"name":"2023 IEEE Intelligent Vehicles Symposium (IV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV55152.2023.10186585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Violations of real-time properties and high latencies have emerged as crucial issues in autonomous vehicles since they can lead to unwanted vehicle behavior and critical maneuvers. Our study aims to provide a comprehensive understanding of latencies in a software stack for autonomous vehicles. In this paper, we present an evaluation workflow to inspect software and the occurring latencies for ROS 2 applications. This workflow was used to analyze the open-source autonomous driving stack Autoware. Universe by showing the influence of different soft- and hardware configurations. Our focus is on the evaluation of end-to-end, communication, computation, and idle latencies. Based on the results, we show the bottlenecks and motivate future directions to optimize ROS 2 autonomous driving software.