Antonio Josivaldo Dantas Dantas

Mr. Antonio Josivaldo Dantas Dantas

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2020 in IAES International Journal of Robotics and Automation (IJRA)
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Journal Article
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WMWander Mendes Martins
Wander Mendes Martins
ADAntonio Josivaldo Dantas Dantas
Antonio Josivaldo Dantas Dantas
LJLeandro D. De Jesus
Leandro D. De Jesus
ASAdler Diniz de Souza
Adler Diniz de Souza
ARAlexandre Carlos Brandão Ramos
Alexandre Carlos Brandão Ramos
TPTales Cleber Pimenta
Tales Cleber Pimenta
Power transmission lines are of great importance for the operation of all sectors of society, such as commerce, industry and public agencies. To ensure reliability and availability of power supply, regular and occasional inspections are conducted, mostly using patrol with binoculars, helicopters or truck cranes. Research is being developed using unmanned aerial vehicle (UAV) to make this activity autonomous, faster, safer, and less costly. The present work aims to analyze research related to the autonomous control of the UAV along the transmission lines through a systematic review of the literature (SRL), apply a viable solution and to verify the possible lacuna in this state of the art. Improvements in safety, computational process and energy efficiency with low-cost were identified. The results presented can help the research community to perform the working this state of art, from the suggestions of autonomous tracking of transmission lines.

13 November 2026 in Preprints.org
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Preprint
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ADAntonio Josivaldo Dantas Dantas
Antonio Josivaldo Dantas Dantas
WMWander Mendes Martins
Wander Mendes Martins
ACAntonio Augusto Chaves
Antonio Augusto Chaves
ESElcio Shiguemori
Elcio Shiguemori
This paper reports a systematic literature review of planning and routing strategies for unmanned aerial vehicles (UAVs) in search and rescue (SAR). The review followed a documented protocol and is reported according to PRISMA 2020 and PRISMA-S. From 3,642 database records and 96 titles from exploratory searches and the research group's collection, 54 studies were assessed in full text, and 46 primary studies published from 2021 to 2026 were included. Each study was classified by its presence model, detection model, and objective, and by route structure, revisiting, energy, coordination, risk, and validation. Quality, risk of bias, and level of evidence were also assessed. Coverage routing is the largest strategy family (16 studies), and metaheuristics are the most common method class (13). Risk of bias is high in 26 studies, 23 studies are purely synthetic, and only three flew real aircraft. Eight studies build a cell-wise presence map but treat detection as certain, only two calibrate detection against empirical data, and no study places ground risk in the cost of travel. Seventeen studies report an optimality reference, but only six extend it to the application scale. A pooled effect cannot be computed, so 52 observations from 31 studies are synthesized by stratum. Of twelve tracked gaps, seven were narrowed, four were confirmed, and one was maintained. The main gap is the combination of modeling elements. The median study meets three of nine tracked requirements, and the closest study meets eight but keeps closed routes and unbounded revisiting. No multi-vehicle routing formulation has had its predicted detection probability compared with field measurements. This extended version reports the complete protocol and the per-study classifications.