Drone Flight Route Verification for Visual Observer Compliance
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Solution Overview
Problem
Existing drone flight route planning systems do not effectively ensure that drones fly within observable areas by operators or visual observers, leading to regulatory challenges and safety concerns.
Innovation Solution
A method and apparatus that receive and display unconfirmed drone flight routes, confirming them if entirely within a visually observable area and displaying warning messages if parts are outside, allowing for real-time adjustment of observer positions to ensure the route is always observable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a drone flies autonomously through a predetermined flight route, then the productivity and efficiency of drone operations are improved, but it becomes difficult to ensure that the drone remains within visually observable areas throughout the flight
Solution Approach 1:
The system performs preliminary verification by checking whether the predetermined flight route is entirely contained within the visually observable area before the drone departs. The control unit determines in advance if the route satisfies regulatory requirements, preventing flights that would violate observation constraints while allowing autonomous operation.
Solution Approach 2:
The system provides feedback to the operator by displaying information about the relationship between the flight route and visually observable areas. This feedback mechanism allows the operator to understand whether the autonomous flight route complies with observation requirements and make necessary adjustments before execution.
2Reliability
If the flight route is strictly constrained to remain within visually observable areas, then regulatory compliance and safety are improved, but the flexibility and coverage of the drone's operational area are reduced
Solution Approach 1:
The system calculates and verifies the containment relationship between the flight route and visually observable areas before flight execution. By performing this check in advance, the system identifies compliant routes without requiring real-time constraint enforcement during flight, maintaining both compliance and operational flexibility.
Solution Approach 2:
The system dynamically evaluates different flight route options against the visually observable area boundaries. The control unit can adapt route selection based on the determined spatial relationship, allowing flexible planning of compliant flights while maintaining the ability to adjust routes as needed.
3Reliability
If the operator manually monitors and adjusts the drone's position to maintain visual observation, then observation compliance is improved, but the ease of operation and automation level are reduced
Solution Approach 1:
The system performs self-verification by automatically determining whether the predetermined flight route is contained within the visually observable area. The control unit independently assesses compliance without requiring continuous manual intervention, allowing the operator to simply input the route and receive automatic verification results.
Solution Approach 2:
The system replaces manual monitoring and adjustment operations with automated computational verification. Instead of requiring the operator to continuously track the drone's position relative to observation boundaries, the control unit uses geometric calculations to determine route containment automatically.
4Reliability
If the system verifies whether the flight route is entirely within the visually observable area, then safety and compliance are improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system replaces complex physical monitoring infrastructure with computational geometry verification. Instead of deploying additional sensors or observation equipment throughout the flight path, the control unit uses mathematical calculations to determine whether the route lies within the visually observable area, significantly reducing system complexity.
Solution Approach 2:
The control unit acts as an intermediary that bridges the flight route planning and visual observation requirements. It performs the verification function by calculating the spatial relationship between the route and observable area, providing a simple yes/no determination without requiring complex integration between separate systems.
Data Source
AI summary
A method for generating a flight route includes receiving an unconfirmed flight route of a drone, displaying a visually observable area based on a position of an observer who visually observes the drone, confirming, if the unconfirmed flight route is entirely included in the visually observable area, the unconfirmed flight route as a confirmed flight route, and displaying, if at least a part of the unconfirmed flight route is not included in the visually observable area, a warning message indicating that the unconfirmed flight route is not confirmed.