3D multi-object tracking with boosting data association and improved trajectory management mechanism-Reference-Cited by-同舟云学术

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3D multi-object tracking with boosting data association and improved trajectory management mechanism

Published:2024-05 Issue: Volume:218 Page:109367
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Jin Jingyi,Zhang Jindong,Zhang Kunpeng,Wang Yiming,Ma Yuanzhi,Pan Dongyu

Funder

National Natural Science Foundation of China

Jilin Scientific and Technological Development Program

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference59 articles.

1. A survey of traffic prediction: from spatio-temporal data to intelligent transportation;Yuan;Data Sci. Eng.,2021

2. A comprehensive study of 3-D vision-based robot manipulation;Cong;IEEE Trans. Cybern.,2021

3. An improved path planning algorithm based on fuel consumption;Liu;J. Supercomput.,2022

4. Pointtracknet: An end-to-end network for 3-d object detection and tracking from point clouds;Wang;IEEE Robot. Autom. Lett.,2020

5. Transformers for multi-object tracking on point clouds;Ruppel,2022

Cited by 4 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. Smart3DMOT: Smart cascade 3D MOT tracking strategy with motion and appearance association;Computers and Electrical Engineering;2024-10

2. 3D multi-object tracking based on informatic divergence-guided data association;Signal Processing;2024-09

3. Based on instance-level temporal feature fusion and multi-stage association for 3D multi-object tracking;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

4. mmMCL3DMOT: Multi-Modal Momentum Contrastive Learning for 3D Multi-Object Tracking;IEEE Signal Processing Letters;2024

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