A Ground-Based Visual System for UAV Detection and Altitude Measurement Deployment and Evaluation of Ghost-YOLOv11n on Edge Devices.

Hongyu Wang, Yifeng Qu, Zheng Dang, Duosheng Wu, Mingzhu Cui, Hanqi Shi, Jintao Zhao

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hongyu WangSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.

Yifeng QuSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.

Zheng DangSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0003-6308-8994

Duosheng WuSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.

Mingzhu CuiSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.

Hanqi ShiSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0007-7701-8259

Jintao ZhaoSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

Shanghai Industrial Synergy and Innovation Fund XTCX-KJ-2023-2-12

6 · The paper itself

Abstract

The growing threat of unauthorized drones to ground-based critical infrastructure necessitates efficient ground-to-air surveillance systems. This paper proposes a lightweight framework for UAV detection and altitude measurement from a fixed ground perspective. We introduce Ghost-YOLOv11n, an optimized detector that integrates GhostConv modules into YOLOv11n, reducing computational complexity by 12.7% while achieving 98.8% mAP

Indexed as

edge AIembedded deploymentKalman filtermonocular rangingUAV detectionYOLOv11

Identifiers

PMID41516640

DOI10.3390/s26010205

PMCPMC12788310

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.