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 Sep 2020
Event23rd IEEE International Conference on Intelligent Transportation Systems: ITSC 2020 - Virtual, Rhodos, Greece
Duration: 20 Sep 202023 Sep 2020

Conference

Conference23rd IEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2020
CountryGreece
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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