Implementation of a Collision Avoidance System to Assist Safe Driving Based on Data Fusion in Vehicular Networks

Haeyoung Lee, Jihoon Yang, Klaus Moessner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With development of 5G and Beyond communication technologies and the recent achievements in autonomous driving, technical solutions to improve road safety have attracted great attention. In this paper, we present a collision avoidance system implemented using a 1/10 scale vehicle, as a research platform for autonomous driving connected a vehicular network. While the collision avoidance system exploits data fusion to make decisions relevant to predicting potential collision events, the effectiveness of the fusion of data obtained from in-vehicle sensors and vehicular communication is evaluated within a testbed environment.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages795-800
Number of pages6
ISBN (Electronic)9781728167589
DOIs
Publication statusPublished - 21 Oct 2020
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 21 Oct 202023 Oct 2020

Publication series

NameInternational Conference on ICT Convergence
Volume2020-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/TerritoryKorea, Republic of
CityJeju Island
Period21/10/2023/10/20

Keywords

  • ADAS
  • autonomous driving
  • collision avoidance
  • Internet of vehicles
  • V2X
  • Vehicular networks

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