Overview of Tools Supporting Planning for Automated Driving
March 09, 2020 ยท The Cartographer ยท ๐ 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
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"Title-pattern auto-detect: Overview of Tools Supporting Planning for Automated Driving"
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Authors
Kailin Tong, Zlatan Ajanovic, Georg Stettinger
arXiv ID
2003.04081
Category
cs.RO: Robotics
Cross-listed
cs.AI
Citations
31
Venue
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Last Checked
2 days ago
Abstract
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 execution. 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. Finally, we discuss the current gaps and suggest future research directions.
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