Unmanned aerial vehicle risk assessment method based on spatial grid and related device

By combining geographic security data and UAV operational parameters using a spatial grid-based approach, efficient ground risk assessment is achieved. This solves the problems of high computational complexity and insufficient real-time performance in existing technologies, and improves the real-time performance and data fusion efficiency of UAV risk assessment.

CN122390445APending Publication Date: 2026-07-14SHENZHEN YUCHEN INTELLIGENT TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN YUCHEN INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2026-04-09
Publication Date
2026-07-14

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Abstract

The application provides a kind of unmanned aerial vehicle risk assessment method and related device based on space grid, by the target area geographic security basic data unified mapping to the static grid database according to space grid coding index, make population, shelter, protection and static risk attribute such as regulation constraint realize standardization storage and coding retrieval, and generate the probability distribution of estimated crash landing impact area based on unmanned aerial vehicle operation parameter information, convert continuous space influence range into corresponding grid coverage set, then output the risk result to the ground in the grid level combined with probability distribution and static risk attribute, so that traditional complex space geometry calculation and multi-layer superposition analysis are converted into efficient coding index and discrete aggregation operation, significantly improve the calculation efficiency and real-time performance of risk assessment to the ground, reduce data fusion cost, and provide real-time query risk assessment support for unmanned aerial vehicle online path planning, dynamic obstacle avoidance and airspace risk control.
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