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2020 | OriginalPaper | Chapter

New Simulation Tools for Training and Testing Automated Vehicles

Authors : Jiaqi Ma, Chris Schwarz, Ziran Wang, Maria Elli, German Ros, Yiheng Feng

Published in: Road Vehicle Automation 7

Publisher: Springer International Publishing

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Abstract

Simulation offers the potential benefit of testing many miles in a variety of situations and environments. Not only can virtual testing environments be run quickly and in parallel, but a greater focus can be brought to bear on rare edge cases that need to be understood by ADS. They support simulation of sensor suites, environmental conditions, full control of all static and dynamic actors, maps generation and much more that enable automated vehicle simulations. They have large and growing communities that can contribute to the simulation ecosystem and develop use cases. This chapter presents ADS simulation research and capabilities discussed at the breakout session entitled “New Simulation tools for Training and Testing Automated Vehicles” at the 2019 Automated Vehicle Symposium in Orlando, FL. The section reviews key highlights and conclusions from three studies presented at the breakout session: 1) Responsibility Safety Sense (RSS) and software-in-the-loop (SiL) simulation; 2) augmented-reality-based testing with accelerated scenario design; and 3) human-in-the-loop testing for freeway cooperative merge.

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Metadata
Title
New Simulation Tools for Training and Testing Automated Vehicles
Authors
Jiaqi Ma
Chris Schwarz
Ziran Wang
Maria Elli
German Ros
Yiheng Feng
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-52840-9_11

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