How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software-Reference-Cited by-同舟云学术

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How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Betz Tobias¹,Schmeller Maximilian²,Teper Harun³,Betz Johannes⁴

Affiliation:

1. Technical University Munich,Institute of Automotive Technology, TUM School of Engineering and Design,Garching,Germany,85748

2. Technical University Munich,TUM School of Computation, Information and Technology,Garching,Germany,85748

3. Technical University of Dortmund,Institute of Design Automation of Embedded Systems,Dortmund,Germany,44227

4. Technical University Munich,Professorship of Autonomous Vehicle Systems, TUM School of Engineering and Design,Garching,Germany,85748

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186585.pdf?arnumber=10186585

Reference26 articles.

1. Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems

2. Demystifying Power and Performance Bottlenecks in Autonomous Driving Systems

3. ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2

4. Online latency monitoring of time-sensitive event chains in safety-critical applications

5. An Analysis of Software Latency for a High-Speed Autonomous Race Car—A Case Study in the Indy Autonomous Challenge

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latency Measurement for Autonomous Driving Software Using Data Flow Extraction;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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