Overview of Tools Supporting Planning for Automated Driving

Kailin Tong, Zlatan Ajanovic, Georg Stettinger

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    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 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.

    Original languageEnglish
    Title of host publication2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
    Number of pages8
    ISBN (Electronic)978-1-7281-4149-7
    DOIs
    Publication statusPublished - 20 Sept 2020
    Event23rd IEEE International Conference on Intelligent Transportation Systems: ITSC 2020 - Virtual, Rhodos, Greece
    Duration: 20 Sept 202023 Sept 2020

    Conference

    Conference23rd IEEE International Conference on Intelligent Transportation Systems
    Abbreviated titleITSC 2020
    Country/TerritoryGreece
    CityVirtual, Rhodos
    Period20/09/2023/09/20

    ASJC Scopus subject areas

    • Information Systems and Management
    • Artificial Intelligence
    • Decision Sciences (miscellaneous)
    • Education
    • Modelling and Simulation

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