UAV Flight Path Tracking via Geospatial Image Correlation
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Solution Overview
Problem
Existing methods for retrieving unmanned aerial vehicles (UAVs) struggle to accurately reflect the actual location scenario and flight trajectory, leading to a large search range and difficulty in locating fallen drones.
Innovation Solution
A flight vehicle tracking method that collects geographic location information and image data, establishing a correspondence between the two, allowing for the marking and storage of geographic location information within the image data, enabling efficient tracking and navigation of the UAV's flight path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only longitude and latitude information is stored for UAV retrieval, then the retrieval system is simple, but the actual location scenario and flight trajectory cannot be reflected
Solution Approach 1:
The patent combines multiple types of information (longitude, latitude, altitude, flight trajectory, and image data) into a unified retrieval system. By merging these diverse data types, the system maintains relative simplicity while comprehensively reflecting the actual location scenario and flight trajectory, resolving the contradiction between system simplicity and information completeness.
Solution Approach 2:
The patent introduces a server as an intermediary that receives, stores, and manages multiple types of UAV information. The server acts as a mediator between the UAV and the retrieval system, enabling the system to handle complex information (including flight trajectories and image data) without increasing the complexity of the client-side retrieval interface.
2Ease of operation
If only last stored locations are used for retrieval, then the retrieval process is simple, but the flight trajectory cannot be reflected and search range positioning is difficult
Solution Approach 1:
The patent performs preliminary actions by pre-collecting and storing flight trajectory information and image data during the UAV's flight operations. This preliminary data collection enables the retrieval system to provide precise search range positioning when needed, without complicating the actual retrieval process. The trajectory data is prepared in advance, allowing operators to quickly locate and narrow down search areas.
3Productivity
If geographic location information is correlated with image data, then the search efficiency is improved, but the data processing complexity increases
Solution Approach 1:
The patent uses a server as an intermediary to handle the complex task of correlating geographic location information with image data. The server performs the data processing and correlation operations, while the client-side retrieval interface remains simple. This intermediary approach improves search efficiency by providing comprehensive location and visual information without significantly increasing the complexity perceived by the end user.
Solution Approach 2:
The patent creates copies of UAV information (location data, trajectory data, and image data) and stores them on the server. These copies enable efficient retrieval and correlation operations without requiring complex real-time processing during the retrieval phase. The pre-stored copies can be quickly accessed and correlated to improve search efficiency.
Data Source
AI summary
A flight vehicle and a tracking method are disclosed. The method includes: collecting the flight vehicle's geographic location information and image data of the areas over which the flight vehicle flies; establishing a correspondence between the geographic location information and the image data collected at a same moment; and sending the foregoing data between which the correspondence is established. A receive end receives the geographic location information and the image data between which the correspondence is established; draws a flight path of the flight vehicle by using the geographic location information; obtains geographic location information corresponding to a location selected on the flight path, and displays image data corresponding to the geographic location information. Therefore i's convenient to obtain a geographic location corresponding to each frame of video image, which provides a basis for tracking the trajectory of the flight vehicle, and monitoring the flight status of the flight vehicle.