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

Lee, Haeyoung, Yang, Jihoon and Moessner, Klaus (2020) Implementation of a Collision Avoidance System To Assist Safe Driving Based on Data Fusion in Vehicular Networks In: 11th International Conference on ICT Convergence (ICTC 2020), 2020-10-21-2020-10-23, Jeju island, Korea.

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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.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Lee, Haeyoung haeyoung.lee@surrey.ac.uk Yang, Jihoon j.yang@surrey.ac.uk Moessner, Klaus K.Moessner@surrey.ac.uk
Date :	13 September 2020
Copyright Disclaimer :	Copyright© ICTC 2020. All rights reserved.
Uncontrolled Keywords :	Vehicular networks; V2X; Internet of vehicles; Collision avoidance; Autonomous driving; ADAS
Related URLs :	Organisation
Depositing User :	Diane Maxfield
Date Deposited :	07 Oct 2020 13:43
Last Modified :	21 Oct 2020 02:08
URI:	http://epubs.surrey.ac.uk/id/eprint/858699

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