Interactive simulation platform using processing-based visualization for safe collision-free autonomous driving development

Dongkyu Lee, Jeonghun Cho, Daejin Park

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

4 Scopus citations

Abstract

Autonomous driving for maximum throughput of traffic is too complex to cover various cases of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self-organizing algorithm. In this paper, we present a simulation-integrated interactive visualization platform to enable the fast development of a safe self-organizing driving algorithm. Using the proposed platform, developers describe geographic roads and allocate active cars equipped with specific autonomous algorithms. The cross-coupled simulation result of the self-organized movement of cars is interactively visualized with traffic on roads to show the weakness of the embedded autonomous driving algorithm. We show a demonstration for 1000 cars on 300 junctions of roads and offer a way to accelerate the development of self-organizing control in autonomous cars.

Original languageEnglish
Title of host publication2017 IEEE Conference on Dependable and Secure Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-538
Number of pages2
ISBN (Electronic)9781509055692
DOIs
StatePublished - 18 Oct 2017
Event2017 IEEE Conference on Dependable and Secure Computing - Taipei, Taiwan, Province of China
Duration: 7 Aug 201710 Aug 2017

Publication series

Name2017 IEEE Conference on Dependable and Secure Computing

Conference

Conference2017 IEEE Conference on Dependable and Secure Computing
Country/TerritoryTaiwan, Province of China
CityTaipei
Period7/08/1710/08/17

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