MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving-Reference-Cited by-同舟云学术

MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving

Published:2023 Issue: Volume: Page:1-16
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Jia Yukuan¹,Mao Ruiqing¹^ORCID,Sun Yuxuan²^ORCID,Zhou Sheng¹^ORCID,Niu Zhisheng¹^ORCID

Affiliation:

1. Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, China

2. School of Electronic and Information Engineering, and the Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

Funder

Natural Science Foundation of China

project of Tsinghua University-Toyota Joint Research Center for AI Technology of Automated Vehicle

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Talent Fund of Beijing Jiaotong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10153637.pdf?arnumber=10153637

Reference52 articles.

1. V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

2. F-cooper

3. Bridging the Gap Between Point Cloud Registration and Connected Vehicles

4. Vehicle Verification Using Deep Learning for Connected Vehicle Sharing Systems

5. A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

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2. Age of Information Guaranteed Scheduling for Asynchronous Status Updates in Collaborative Perception;2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt);2023-08-24

3. Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles;IEEE Transactions on Mobile Computing;2023