Enhanced Detection of Low-Level Wind Hazards for Urban Air Mobility Using Cycloidal Scanning LiDAR Technology with OOFDMA and Risley Prism Integration

This study introduces a cycloidal scanning LiDAR system that not only enhances urban air mobility (UAM) safety and efficiency but also instills confidence in its ability to detect low-level wind hazards and aerosols. The system, equipped with advanced technologies like Risley prisms, OOFDMA, and DWDMA, has been proven through simulations under various atmospheric conditions to outperform the Velodyne VLS-128 in measurement range, resolution, and detection accuracy. This high-density, detailed data it provides for precise atmospheric analysis enables accurate identification of turbulence and gust conditions, positioning the system as a crucial technology for UAM. It ensures robust real-time environmental monitoring, thereby enhancing the safety of advanced aerial vehicles.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827421
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
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article

Enhanced Detection of Low-Level Wind Hazards for Urban Air Mobility Using Cycloidal Scanning LiDAR Technology with OOFDMA and Risley Prism Integration

Gunzung Kim, Jeongsook Eom, Yongwan Park
Remote Sensing and LiDAR Applications
article

Enhanced Detection of Low-Level Wind Hazards for Urban Air Mobility Using Cycloidal Scanning LiDAR Technology with OOFDMA and Risley Prism Integration

Gunzung Kim, Jeongsook Eom, Yongwan Park
article en

Abstract

This study introduces a cycloidal scanning LiDAR system that not only enhances urban air mobility (UAM) safety and efficiency but also instills confidence in its ability to detect low-level wind hazards and aerosols. The system, equipped with advanced technologies like Risley prisms, OOFDMA, and DWDMA, has been proven through simulations under various atmospheric conditions to outperform the Velodyne VLS-128 in measurement range, resolution, and detection accuracy. This high-density, detailed data it provides for precise atmospheric analysis enables accurate identification of turbulence and gust conditions, positioning the system as a crucial technology for UAM. It ensures robust real-time environmental monitoring, thereby enhancing the safety of advanced aerial vehicles.

Yeungnam University (KR)
Sustainable cities and communities
Openalex Percentile: Top 78%
Remote Sensing and LiDAR Applications
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Enhanced Detection of Low-Level Wind Hazards for Urban Air Mobility Using Cycloidal Scanning LiDAR Technology with OOFDMA and Risley Prism Integration — Gunzung Kim, Jeongsook Eom, et al. · (2024) | TGRS Research Map | TGRS