UAV Route Redirection Using Network Warnings for Restricted Areas
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of unmanned aerial vehicles (UAVs) poses challenges in ensuring safe and controlled flight paths to avoid collisions and restricted areas, such as airports, and protects personal privacy by preventing unauthorized drone flights over residential areas.
Innovation Solution
Equipping drones with communication modules for wireless communication with a network entity that provides real-time warning signals and route redirection to avoid restricted areas, using virtual roads and network-controlled navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-downloaded maps are used for route planning, then route direction capability is provided, but device complexity and maintenance burden increase
Solution Approach 1:
The patent introduces a network entity as an intermediary that stores and manages geographic information data about restricted areas. Instead of embedding maps in each drone, the network entity acts as a centralized server that drones query for route planning, eliminating the need for local map storage and updates on each device.
Solution Approach 2:
The system enables self-service by allowing drones to autonomously query the network entity for restricted area information and compute their own safe routes. The drone receives warning signaling about restricted areas and independently determines withdrawal actions without requiring manual intervention or pre-loaded maps.
2Reliability
If static restricted area definitions are used, then initial safety coverage is provided, but adaptability to temporary restrictions is lost
Solution Approach 1:
The patent transforms the static restricted area definitions into a dynamic system where the network entity can update warning signaling in real-time. Restricted areas can be temporarily added or modified based on current conditions such as weather, events, or emergencies, allowing the system to adapt while maintaining continuous safety monitoring.
Solution Approach 2:
The system implements feedback by continuously monitoring drone positions and comparing them against updated restricted area definitions from the network entity. When a drone approaches or enters a restricted area, the system provides real-time warning signaling that triggers automatic route adjustment, creating a closed-loop safety mechanism.
3Reliability
If manual monitoring of drone traffic is implemented, then collision prevention is possible, but productivity and response time decrease
Solution Approach 1:
The patent implements self-service by enabling drones to autonomously monitor their own positions, receive warning signaling about restricted areas, and independently compute safe routes. This automated self-monitoring eliminates the need for manual air traffic control while maintaining collision prevention through continuous position tracking and automatic route adjustment.
Solution Approach 2:
The system replaces manual mechanical monitoring with automated electronic monitoring. Instead of human operators tracking drone positions and issuing commands, the patent uses automated communication between drones and the network entity, with electronic warning signaling and algorithmic route computation, dramatically improving response time and traffic flow efficiency.
Data Source
AI summary
A method (50) of route directing performed in an unmanned aerial vehicle (8a) is provided. The unmanned aerial vehicle (8a) comprises a communication module (9a) for wireless communication with an access node (2a, 2b) of a communications system (1). The method (50) comprises receiving (51), from a network entity (11), warning signaling about a restricted area, and withdrawing (52) from the restricted area in response to receiving the warning signaling. A method (20) in a network entity (11) is also provided, as well as an unmanned aerial vehicle (8a), a network entity (11), computer programs and computer program products.


