A real-time multi-vehicle tracking framework in intelligent vehicular networks-Reference-Cited by-同舟云学术

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A real-time multi-vehicle tracking framework in intelligent vehicular networks

Published:2021-06 Issue:6 Volume:18 Page:89-99
ISSN:1673-5447
Container-title:China Communications
language:
Short-container-title:China Commun.

Author:

Fu Huiyuan,Guan Jun,Jing Feng,Wang Chuanming,Ma Huadong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/6245522/9459555/09459567.pdf?arnumber=9459567

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. Heterogeneous Data Fusion for Accurate Road User Tracking: A Distributed Multi-Sensor Collaborative Approach;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Hyperbolic-Embedding-Aided Geographic Routing in Intelligent Vehicular Networks;Electronics;2024-02-05

3. A vehicle trajectory collection and query system based on crowd sensing;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17

4. Trajectory‐BERT: Pre‐training and fine‐tuning bidirectional transformers for crowd trajectory enhancement;Computer Animation and Virtual Worlds;2023-05

5. Multi-Object Tracking Algorithm Based on Multi-layer Feature Adaptive Fusion;2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT);2022-08

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