Scalable cooperative perception for connected and automated driving

Author:

Thandavarayan GokulnathORCID,Sepulcre Miguel,Gozalvez Javier,Coll-Perales Baldomero

Funder

Universidad Miguel Hernández de Elche

Horizon 2020 Framework Programme

Federación Española de Enfermedades Raras

Ministerio de Ciencia, Innovación y Universidades

Agencia Estatal de Investigación

Horizon 2020

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference43 articles.

1. Dynamic dissemination method for collective perception;Allig;Proc. IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand,2019

2. Context-aware content selection and message generation for collective perception services;Ameni;Electronics,2021

3. Cooperative perception with deep reinforcement learning for connected vehicles;Aoki;Proc. IEEE Intelligent Vehicles Symposium,2020

4. Network load adaptation for collective perception in V2X communications;Delooz;Proc. IEEE International Conference on Connected Vehicles and Expo,2019

5. survey on ITS-G5 CAM statistics,2018

Cited by 5 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. Hierarchical Perception Enhancement for Different Levels of Autonomous Driving: A Review;IEEE Sensors Journal;2024-06-01

2. A Study on Collective Perception with Realistic Perception Modeling;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

3. A First Study on the Spectrum Needs for Release 2 V2X Services;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

4. LiDaSim: A Lightweight Dataset-Based Simulation Framework for Vehicular Ad Hoc Networks;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

5. Accounting for the Special Role of Infrastructure-assisted Collective Perception;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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