UAV Route Evaluation Using Real-Time Obstacle Detection Data
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Solution Overview
Problem
Existing UAV management systems inadequately evaluate risks on flight routes, making it difficult to select the most appropriate UAV for each route, especially when multiple UAVs are involved, and do not effectively update evaluation data based on real-time obstacle detection and environmental changes.
Innovation Solution
A management device and method that generates evaluation data for UAV flight routes based on obstacle detection results, including type and likelihood of obstacles, to select the most suitable UAV for each route, and updates this data in real-time to reflect changing environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple UAVs are deployed on flight routes, then productivity increases, but it becomes difficult to select the most appropriate UAV for each route without evaluation data
Solution Approach 1:
The system performs preliminary evaluation of flight routes by having UAVs detect obstacles and generate evaluation data before actual flight operations. This advance preparation creates a database of route characteristics that enables efficient UAV selection later, resolving the contradiction by preparing selection criteria in advance rather than making decisions under pressure during operations.
Solution Approach 2:
The system implements feedback loops where UAVs collect obstacle detection data during flights, return this information to the management device, which then updates evaluation data for future route selections. This continuous feedback mechanism improves the accuracy of UAV-route matching over time, making the selection process increasingly efficient as more operational data is gathered.
2Reliability
If evaluation data is generated based on detailed obstacle detection results, then reliability of UAV selection improves, but device complexity increases
Solution Approach 1:
The evaluation data generation process is segmented into distinct functional modules: obstacle detection by UAVs, data transmission to management device, evaluation data generation, and UAV selection. This modular segmentation reduces system complexity by making each component independent and manageable, while still achieving reliable UAV-route matching through the coordinated operation of these specialized modules.
Solution Approach 2:
The management device serves as an intermediary between the obstacle detection function and the UAV selection process. It receives raw detection data, processes it into evaluation data, and uses this to make selection decisions. This intermediary role simplifies the overall system architecture by centralizing the complex processing logic in a dedicated component rather than distributing it across multiple UAVs and ground stations.
3Reliability
If real-time obstacle detection is implemented, then safety of UAV operations improves, but loss of time for data processing and route re规划 increases
Solution Approach 1:
The system performs preliminary evaluation of alternative routes by having UAVs detect obstacles and generate evaluation data before flights commence. When obstacles are detected during flight, the management device can quickly reference pre-generated evaluation data to select alternative routes, significantly reducing the time loss compared to performing full route planning in real-time during emergencies.
Solution Approach 2:
The system dynamically adjusts the level of real-time processing based on flight conditions. For routine flights with no obstacles, pre-generated evaluation data is used with minimal processing. When obstacles are detected, the system dynamically switches to real-time route recalculation using the same evaluation framework, optimizing the balance between safety and time loss based on actual operational needs.
Data Source
AI summary
A management device that manages a flight route of a plurality of unmanned aerial vehicles (UAVs) includes a communication unit that acquires a detection result of an obstacle by a first UAV including an obstacle detection function and an evaluating unit that generates evaluation data of the flight route for selecting a UAV to fly on the flight route based on the detection result.