Leveraging the edge and cloud for V2X-based real-time object detection in autonomous driving-Reference-Cited by-同舟云学术

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Leveraging the edge and cloud for V2X-based real-time object detection in autonomous driving

Published:2024-01 Issue: Volume:213 Page:372-381
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Hawlader Faisal^ORCID,Robinet François,Frank Raphaël

Funder

Fonds National de la Recherche Luxembourg

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference53 articles.

1. Vehicle-to-infrastructure communication for real-time object detection in autonomous driving;Hawlader,2023

2. Computation offloading for vehicular environments: A survey;De Souza;IEEE Access,2020

3. Simu5G: a system-level simulator for 5G networks;Nardini,2020

4. A tutorial on 5G NR V2X communications;Garcia;IEEE Commun. Surv. Tutor.,2021

5. Poster: Lightweight features sharing for real-time object detection in cooperative driving;Hawlader,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Feature Focusing Network for small object detection;Information Processing & Management;2024-11

2. A Shared-Road-Rights Driving Strategy Based on Resolution Guidance for Right-of-Way Conflicts;Electronics;2024-08-14

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