Evidence map›Paper›PMID 35632041›Full record

ArticleSensors (Basel, Switzerland)2022

Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling.

Qianyu Zhou, Li-Yu Lo, Bailun Jiang, Ching-Wei Chang, Chih-Yung Wen, Chih-Keng Chen, Weifeng Zhou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qianyu ZhouDepartment of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0003-1346-7796
Li-Yu LoDepartment of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0001-8570-563X
Bailun JiangDepartment of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0001-8261-7503
Ching-Wei ChangDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0001-7307-6039
Chih-Yung WenDepartment of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0002-1181-8786
Chih-Keng ChenDepartment of Vehicle Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.ORCID 0000-0001-9117-7116
Weifeng ZhouSchool of Professional Education and Executive Development, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0001-7386-2945

Funding

Innovation and Technology Commission of Hong Kong ITT/027/19GPResearch Committee of College of Professional and Continuing Education SEHS-2021-238(I)
6 · The paper itself

Abstract

Due to the ever-increasing industrial activity, humans and the environment suffer from deteriorating air quality, making the long-term monitoring of air particle indicators essential. The advances in unmanned aerial vehicles (UAVs) offer the potential to utilize UAVs for various forms of monitoring, of which air quality data acquisition is one. Nevertheless, most current UAV-based air monitoring suffers from a low payload, short endurance, and limited range, as they are primarily dependent on rotary aerial vehicles. In contrast, a fixed-wing UAV may be a better alternative. Additionally, one of the most critical modules for 3D profiling of a UAV system is path planning, as it directly impacts the final results of the spatial coverage and temporal efficiency. Therefore, this work focused on developing 3D coverage path planning based upon current commercial ground control software, where the method mainly depends on the Boustrophedon and Dubins paths. Furthermore, a user interface was also designed for easy accessibility, which provides a generalized tool module that links up the proposed algorithm, the ground control software, and the flight controller. Simulations were conducted to assess the proposed methods. The result showed that the proposed methods outperformed the existing coverage paths generated by ground control software, as it showed a better coverage rate with a sampling density of 50 m.

Indexed as

Air PollutionRemote Sensing TechnologyAlgorithmsHumansair qualitycoverage path planningfixed-wing UAVmonitoring

Identifiers

PMID35632041
PMCPMC9143050

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.