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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Visual perception of wind hazards using cycloidal scanning LiDAR system.

Gunzung Kim¹, Jeongsook Eom², Yongwan Park³

¹Institute of Information and Communication, Yeungnam University, Gyeongsan, Gyeongsangbuk-do, 38541, Republic of Korea. gzkim@yu.ac.kr.

Scientific Reports

|February 11, 2025

Summary

This summary is machine-generated.

Urban Air Mobility (UAM) faces wind hazards. An on-board cycloidal scanning LiDAR system enhances safety by providing real-time visual perception of wind conditions, crucial for efficient operations.

Keywords:

DWDMA LiDAR Optical OFDMA Risley prism Urban air mobility Variable field-of-view Visual perception Wind hazards

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Area of Science:

Aerospace Engineering
Atmospheric Science
Robotics

Background:

Urban Air Mobility (UAM) operations are highly susceptible to wind hazards.
Existing weather monitoring tools lack the necessary real-time, high-resolution data for safe UAM flight.
On-board sensing is critical for addressing immediate environmental challenges during UAM operations.

Purpose of the Study:

To evaluate the effectiveness of an on-board cycloidal scanning LiDAR system for enhancing Urban Air Mobility safety.
To investigate the role of advanced visual perception in mitigating wind-related risks for UAM.
To assess the system's capability in providing real-time environmental data for safe flight path management.

Main Methods:

Development and integration of a lightweight, low-power cycloidal scanning LiDAR system for on-board UAM application.
Implementation of real-time data processing for high-resolution visual mapping and environmental scanning.
Utilizing 360° rotational capabilities for comprehensive situational awareness of wind conditions.

Main Results:

The cycloidal scanning LiDAR system provides high-resolution visual mapping and real-time data crucial for UAM safety.
The system effectively scans the environment, offering continual visual updates on wind conditions along the flight path.
Demonstrated the system's suitability for UAM due to its lightweight design and low power consumption.

Conclusions:

On-board visual perception technology, specifically the cycloidal scanning LiDAR, significantly improves UAM safety by addressing wind hazards.
The system's real-time data and comprehensive scanning capabilities are vital for safe and efficient Urban Air Mobility operations.
Balancing advanced visual capabilities with practical design constraints (power, size, weight) is key to optimizing UAM safety and efficiency.