“Testing Self Driving Cars with Game Development Tools” by Kaviratna
Conference:
Type:
Entry Number: 54
Title:
- Testing Self Driving Cars with Game Development Tools
Presenter(s)/Author(s):
Abstract:
The Uber Advanced Technologies Group (ATG) aims to bring safe, reliable self-driving transportation to everyone, everywhere; In order to facilitate this mission, a suite of simulation technologies for exercising the self driving vehicle (SDV) needs to be created. These simulations must be scale-able, believable, and human interpretable in order to provide consistent value.
Here we will cover how ATG leveraged a game engine to meet these demands. Topics covered include: evaluating self driving performance, authoring self driving tests, simulating robot-realistic worlds, and critical lessons learned while building these tools.
References:
2020 Unreal Engine | The most powerful real-time 3D creation platform. https: //www.unrealengine.com/en-US/. Accessed: 2020-03-22.
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun. 2017. CARLA: An Open Urban Driving Simulator. In Proceedings of the 1st Annual Conference on Robot Learning. 1–16.
Keyword(s):
Acknowledgements:
Thanks to everyone involved in the ATG Simulation effort, both within the simulation org and without. This has been and will continue to be a large multi-team initiative.
Special thanks to Samuel Gundry, Allison Liemhetcharat, Jessica Smith, Peter Melick, and Michael Knight.
