UAV Geofence Management for High-Altitude Airspace Control
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Solution Overview
Problem
Current Unmanned Aircraft System Traffic Management (UTM) frameworks primarily focus on low-altitude operations and lack the necessary technology to safely regulate unmanned aircraft operating above 400 feet, which is essential for package delivery and air taxi services.
Innovation Solution
The implementation of a geofence management system using sensor data from in-flight UAVs to detect objects, determine their location, and manage virtual perimeters, enabling safe navigation and regulation of UAVs at higher altitudes by creating and enforcing geofences around specific areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If UTM framework focuses on low-altitude operations under 400 feet, then regulatory simplicity is maintained, but capability to support package delivery and air taxi services above 400 feet is limited
Solution Approach 1:
The patent segments the airspace into multiple altitude zones (e.g., under 400 feet and above 400 feet) with different regulatory requirements. Each zone has its own geofence parameters and rules, allowing the system to support advanced operations at higher altitudes while maintaining simple regulations for low-altitude operations. This segmentation enables the UTM framework to accommodate diverse service requirements without overwhelming complexity throughout the entire airspace.
2Reliability
If geofence management system is implemented to regulate UAVs above 400 feet, then air traffic safety and regulation are enhanced, but system complexity and computational requirements increase
Solution Approach 1:
The geofence management system implements a universal framework that handles both low-altitude and high-altitude UAV operations through a single system architecture. The same core components (geofence definition, sensor data processing, object detection, location determination) serve multiple altitude zones and operational scenarios, including package delivery and air taxi services. This multi-functionality enhances safety across all operations while avoiding the need for separate complex systems for different altitude regimes.
Solution Approach 2:
The patent introduces a geofence manager as an intermediary component that mediates between raw sensor data from UAVs and the regulatory decision-making processes. The geofence manager standardizes data inputs, performs intermediate processing (object detection, location determination), and outputs structured information for regulatory enforcement. This intermediary layer simplifies the overall system architecture by centralizing complex processing tasks and providing a clear interface between data collection and regulatory actions.
3Measurement precision
If sensor data from in-flight UAVs is utilized to detect objects and determine locations, then tracking precision is improved, but data processing requirements and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-defining geofence parameters, object detection criteria, and location determination algorithms before UAV operations begin. Geofences are established with predetermined boundaries and rules, and the system is pre-configured with detection thresholds and processing protocols. This preliminary setup reduces real-time computational requirements during actual UAV tracking and monitoring, as the heavy lifting of parameter definition and rule establishment has already been completed beforehand.
Data Source
AI summary
Methods, systems, apparatuses, and computer program products for geofence management with an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of geofence management with a UAV includes a geofence manager utilizing a first set of sensor data collected by a first set of in-flight UAVs of the UAV system to detect a first object. In this embodiment, the geofence manager also utilizes the first set of sensor data to determine a first location of the detected first object and determines whether the first location of the detected first object is within a geofence of an area.