Overview of Tools Supporting Planning for Automated Driving

March 09, 2020 ยท The Cartographer ยท ๐Ÿ› 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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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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