Title: Proxy-CPM: a collaborative high-definition map update for autonomous and connected vehicles

Authors: Anis Boubakri; Sonia Mettali Gammar

Addresses: National School of Computer Sciences, University of Manouba, TN CP: 1000, Tunisia ' National School of Computer Sciences, University of Manouba, TN CP: 1000, Tunisia

Abstract: Autonomous cooperative driving systems allow autonomous vehicles to operate safely. However, these driving systems are limited by the difficulty of retrieving, in a timely manner, the data needed for traffic. HD maps act as an additional sensor for the purpose of informing autonomous vehicles in advance by changes in the traffic environment. So you have to update the HD map. In our solution, we have proposed a service that allows to notify the vehicles by the updates of the traffic environment in order to minimise dangerous situations.

Keywords: HD map; edge computing; autonomous vehicles; connected vehicles; collaborative perception.

DOI: 10.1504/IJAACS.2024.138199

International Journal of Autonomous and Adaptive Communications Systems, 2024 Vol.17 No.3, pp.272 - 286

Received: 20 Oct 2021
Accepted: 05 Jan 2022
Published online: 30 Apr 2024 *

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