How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software
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 th...
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Published in | 2023 IEEE Intelligent Vehicles Symposium (IV) pp. 1 - 6 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
04.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2642-7214 |
DOI: | 10.1109/IV55152.2023.10186585 |