Low-Altitude UAV Collision Avoidance via Wireless Traffic Data
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Solution Overview
Problem
Low flying unmanned vehicles face increased collision risks due to lack of communication with each other and FAA air traffic controllers, making evasive actions less likely and more difficult.
Innovation Solution
A low flying unmanned vehicle equipped with wireless communication capabilities using cellular, satellite, WiFi, or WiMax protocols to determine collision risks and take evasive action by receiving flight data from various objects, including commercial aircraft and other unmanned vehicles, using a standard protocol to assess collision probabilities and adjust its flight path accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If low flying unmanned vehicles operate without communication systems, then device complexity is reduced, but collision avoidance capability deteriorates
Solution Approach 1:
The patent introduces wireless communication systems (cellular, satellite, WiFi, WiMax) as intermediaries between unmanned vehicles and air traffic control systems. These communication modules enable data exchange about flight paths, locations, and collision risks without requiring complex direct vehicle-to-vehicle communication protocols, thus resolving the contradiction between system complexity and collision avoidance capability.
2Loss of information
If unmanned vehicles do not communicate with each other or air traffic controllers, then loss of information is reduced, but collision detection accuracy deteriorates
Solution Approach 1:
The system implements feedback loops where flight data from multiple sources (other vehicles, air traffic controllers, ground stations) is continuously received, processed, and used to update collision risk assessments. This feedback mechanism ensures comprehensive information gathering while maintaining data accuracy through multiple verification channels, resolving the contradiction between information loss and detection precision.
3Reliability
If evasive actions are taken without accurate collision probability assessment, then collision avoidance effectiveness is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calculations of collision probability and potential evasive maneuvers in advance, using received flight data to pre-assess risk scenarios. By preparing collision avoidance strategies beforehand based on real-time data, the system can execute evasive actions immediately when threats are detected, reducing the time loss associated with last-minute decision-making while maintaining effectiveness.
Data Source
AI summary
A low flying unmanned vehicle is disclosed that may be able to determine whether a collision is possible and may take evasive action in response to the possible collision. The vehicle may wirelessly communicate and may use a standard protocol such that a variety of additional objects may be taken into account when determining the possible collision risk.


