Distributed Simulation Platform for Autonomous Driving

被引:7
|
作者
Tang, Jie [1 ]
Liu, Shaoshan [2 ]
Wang, Chao [3 ]
Liu, Chen [4 ]
机构
[1] South China Univ Technol, Guangzhou, Guangdong, Peoples R China
[2] PerceptIn, Santa Clara, CA 95054 USA
[3] Baidu, Sunnyvale, CA USA
[4] Clarkson Univ, Potsdam, NY USA
关键词
D O I
10.1007/978-3-319-72329-7_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:190 / 200
页数:11
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