A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking

The Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) is a representative task in IoTenabled applications. In this task, UAV swarm aim to maximize the average observation rate by tracking previously detected targets while searchi

Authors

Publication Details

Published
2025-10-03
DOI
https://doi.org/10.36227/techrxiv.175951131.15022484/v1
Citations
1
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking

Tong Min Jiang, Yicheng Yan, Bo Liu, Xianfeng Li et al.
1 citations
Infrared Target Detection Methodologies
4.99
article

A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking

Tong Min Jiang, Yicheng Yan, Bo Liu, Xianfeng Li, Huajun Sun
article en
1 citations

Abstract

The Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) is a representative task in IoTenabled applications. In this task, UAV swarm aim to maximize the average observation rate by tracking previously detected targets while searchi

Openalex Percentile: Top 4%
Infrared Target Detection Methodologies
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking — Tong Min Jiang, Yicheng Yan, et al. · (2025) | TGRS Research Map | TGRS