Joint Vehicle Tracking and RSU Selection for V2I Communications With Extended Kalman Filter-Reference-Cited by-同舟云学术

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Joint Vehicle Tracking and RSU Selection for V2I Communications With Extended Kalman Filter

Published:2022-05 Issue:5 Volume:71 Page:5609-5614
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Song Jiho¹^ORCID,Hyun Seong-Hwan²^ORCID,Lee Jong-Ho³^ORCID,Choi Jeongsik⁴^ORCID,Kim Seong-Cheol²^ORCID

Affiliation:

1. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

2. School of Electrical Engineering, Seoul National University, Seoul, South Korea

3. School of Electronic Engineering, Soongsil University, Seoul, South Korea

4. School of Electronics Engineering, Kyungpook National University, Daegu, South Korea

Funder

University of Ulsan

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/ielx7/25/9779385/09720172.pdf?arnumber=9720172

Reference14 articles.

1. Adaptive Beam Design for V2I Communications Using Vehicle Tracking With Extended Kalman Filter

2. Road Side Unit Deployment: A Density-Based Approach

3. A Network-Based Seamless Handover Scheme for VANETs

4. Coordinated multipoint: Concepts, performance, and field trial results

5. Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design

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1. Systematic review of data exchange for road side unit in a vehicular ad hoc network: coherent taxonomy, prominent features, datasets, metrics, performance measures, motivation, opportunities, challenges and methodological aspects;Discover Applied Sciences;2024-09-12

2. Extended Kalman Filter-Based Vehicle Tracking Using Uniform Planar Array for Vehicle Platoon Systems;Sensors;2024-04-07

3. Road-Map Aided Gaussian Mixture Labeled Multi-Bernoulli Filter for Ground Multi- Target Tracking;IEEE Transactions on Vehicular Technology;2023-06

4. Vehicle Tracking Algorithm Based on Deep Learning in Roadside Perspective;Sustainability;2023-01-19

5. Sensing-Communication Bandwidth Allocation in Vehicular Links Based on Reinforcement Learning;IEEE Wireless Communications Letters;2023-01

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