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Published in:
Vehicular Communications: Standards and Challenges Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Distributed Simulation Platform for Autonomous Driving

Authors : Jie Tang, Shaoshan Liu, Chao Wang, Chen Liu

Published in: Internet of Vehicles. Technologies and Services for Smart Cities

Publisher: Springer International Publishing

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Abstract

Autonomous vehicle safety and reliability are the paramount requirements when developing autonomous vehicles. These requirements are guaranteed by massive functional and performance tests. Conducting these tests on real vehicles is extremely expensive and time consuming, and thus it is imperative to develop a simulation platform to perform these tasks. For simulation, we can utilize the Robot Operating System (ROS) for data playback to test newly developed algorithms. However, due to the massive amount of simulation data, performing simulation on single machines is not practical. Hence, a high-performance distributed simulation platform is a critical piece in autonomous driving development. In this paper we present our experiences of building a production distributed autonomous driving simulation platform. This platform is built upon Spark distributed framework, for distributed computing management, and ROS, for data playback simulations.

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Metadata
Title
Distributed Simulation Platform for Autonomous Driving
Authors
Jie Tang
Shaoshan Liu
Chao Wang
Chen Liu
Copyright Year
2017
Book
Internet of Vehicles. Technologies and Services for Smart Cities

Print ISBN: 978-3-319-72328-0

Electronic ISBN: 978-3-319-72329-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-72329-7_17

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