Adaptive Drone Flight Planning for Safe Approach Corridors
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Solution Overview
Problem
Current drone systems lack efficient methods for dynamically modifying flight plans and ensuring safe drone approaches and landings, particularly in complex environments with obstacles and shared airspace, which can lead to collisions and operational inefficiencies.
Innovation Solution
A system that includes a drone control platform and autonomous drone landing devices (ADLDs) that monitor airspace, adjust flight plans in real-time based on sensor data, and manage drone approach corridors to ensure safe and efficient operations, using adaptive flight planning and collision avoidance protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drone flight plans are executed using traditional control methods, then basic flight operations can be performed, but collision risks increase and operational efficiency decreases in complex environments
Solution Approach 1:
The flight plan is transformed from a static pre-defined path to a dynamic adaptive trajectory that continuously adjusts based on real-time sensor data. The system modifies waypoints, altitudes, and flight parameters on-the-fly to avoid obstacles and optimize performance, resolving the contradiction between maintaining reliable collision avoidance and achieving high operational efficiency in changing environments.
Solution Approach 2:
A closed-loop feedback system is implemented where sensor data from the drone (position, velocity, obstacle detection) is continuously fed back to the flight control platform. This enables real-time flight plan modifications that simultaneously prevent collisions and optimize flight efficiency by adapting to actual environmental conditions rather than following rigid pre-planned paths.
2Productivity
If flight plans are modified in real-time based on sensor data, then operational efficiency improves, but system complexity increases
Solution Approach 1:
A flight control platform acts as an intermediary between the drone and the complex task of real-time flight plan modification. The platform receives sensor data, processes it through algorithms, and generates modified flight plans that are then transmitted to the drone. This intermediary architecture manages system complexity by centralizing the computational burden while maintaining a relatively simple drone control system.
3Reliability
If adaptive flight planning is implemented, then collision avoidance improves, but communication requirements and data processing load increase
Solution Approach 1:
The system extracts and processes only the critical sensor data necessary for flight plan modification, rather than transmitting all raw sensor data. By selecting and processing only essential information (position, velocity, key obstacle detections), the system achieves improved collision avoidance while minimizing communication overhead and data transmission requirements.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for sending a flight plan for execution by a drone, where the flight plan is adapted to a flight controller of the drone. Receiving flight data from the drone while the drone is executing the flight plan. Determining a modification to the flight plan based on the flight data received from the drone. Sending the modification to the flight plan to the drone while the drone is executing the flight plan, such that the drone executes the flight plan as modified by the modification.