ArticleScientific reports2025
Visual perception of wind hazards using cycloidal scanning LiDAR system.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Atmospheric turbulence sensing with structured terahertz beams containing orbital angular momentum.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Urban Air Mobility (UAM) is particularly vulnerable to wind hazards, and conventional weather monitoring tools often do not offer the detailed, real-time information needed for safe operations. This research, which examines the visual perception of the on-board cycloidal scanning LiDAR system in improving UAM safety, is of significant importance. The cycloidal scanning LiDAR system, designed explicitly for on-board integration, delivers high-resolution visual mapping, real-time data processing, and comprehensive environmental scanning with 360° rotational capabilities. Its lightweight design and low power consumption make it well-suited for UAM applications, providing continual visual updates on wind conditions along the flight path. This study underscores the system's effectiveness in providing advanced visual perception for UAM operations. By emphasizing the crucial role of visual perception in identifying and responding to wind hazards, the research highlights the significance of this technology in guaranteeing safe and efficient UAM operations. Striking a balance between real-time visual capabilities and practical considerations such as power, size, and weight is vital to optimizing UAM safety and efficiency.
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Registered trials
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