Method and system for recognizing and responding to abnormal situation of urban air mobility
The flexible avionics software framework with AI sensors and real-time data processing technologies addresses the limitations of urban air mobility systems, enabling reliable and efficient response to abnormal situations.
WO2026110998A1PCT designated stage Publication Date: 2026-05-28LIHAI CO LTD
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- LIHAI CO LTD
- Filing Date
- 2024-12-03
- Publication Date
- 2026-05-28
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Figure KR2024019631_28052026_PF_FP_ABST
Abstract
The present invention relates to a method and system for recognizing and responding to an abnormal situation of urban air mobility. Provided is a system for detecting and responding to an abnormal situation by collecting flight data from a plurality of sensors in real time and performing distributed processing on the collected flight data with a plurality of independent servers. In particular, ROS2-based real-time operating systems, Kalman filters and deep learning-based outlier detection, time-series analysis using LSTM neural networks, deep reinforcement learning-based decision-making models, and Kubernetes-based system management are integrally implemented, thereby significantly improving the safety and reliability of the urban air mobility. The present invention presents a comprehensive solution that satisfies all of real-time capability, stability, and scalability required in an UAM environment.
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Citation Information
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