Overview of Tools Supporting Planning for Automated Driving

被引:14
|
作者
Tong, Kailin [1 ]
Ajanovic, Zlatan [1 ]
Stettinger, Georg [1 ]
机构
[1] Virtual Vehicle Res GmbH, Inffeldgasse 21a, A-8010 Graz, Austria
来源
2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2020年
关键词
OF-THE-ART; FUTURE; SOFTWARE; MAP;
D O I
10.1109/itsc45102.2020.9294512
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Planning is an essential topic in the realm of automated driving. Besides planning algorithms that are widely covered in the literature, planning requires different software tools for its development, validation, and operation. This paper presents a survey of such tools including map representations, communication, traffic rules, open-source planning stacks and middleware, simulation, and visualization tools as well as benchmarks. We start by defining the planning task and different supporting tools. Next, we provide a comprehensive review of state-of-the-art developments and analysis of relations among them. Afterwards, a systematic method to opt for superior tools with respect to specific planning tasks is proposed. Finally, we discuss the current gaps and suggest future research directions. The survey as well as methodology of selecting tools can speed up the pace of planning research for automated driving.
引用
收藏
页数:8
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