Multi-Drone Target Tracking With Coordinated Handover
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Solution Overview
Problem
Existing drone tracking methods can only track one target at a time, leading to potential mutual interference or collision when multiple drones are required to track multiple targets.
Innovation Solution
A target tracking method that utilizes a computing device to establish communication with multiple mobile camera devices, allowing them to identify and track multiple targets by receiving video feeds, determining which targets are out of range, and controlling other devices to take over tracking, thereby preventing interference and collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple drones are deployed to track multiple targets, then tracking coverage is improved, but mutual interference and collision risk increase
Solution Approach 1:
The patent introduces a base station as an intermediary that coordinates between multiple drones and targets. The base station receives target information from drones, determines tracking assignments, and sends control instructions to drones, thereby mediating their interactions to prevent interference and collision while maintaining comprehensive tracking coverage
Solution Approach 2:
The system implements feedback mechanisms where drones continuously report target tracking status and position information to the base station. The base station processes this feedback and adjusts drone assignments dynamically, enabling real-time coordination that prevents mutual interference and collision while optimizing tracking coverage
2Quantity of substance
If a single drone tracks multiple targets, then device quantity is reduced, but tracking precision and reliability deteriorate
Solution Approach 1:
The patent segments the tracking task by assigning different targets to different drones based on spatial distribution and tracking requirements. The base station divides the monitoring area and allocates specific targets to specific drones, ensuring each drone focuses on one or fewer targets to maintain high tracking reliability while using multiple drones to cover all targets
3Device complexity
If drones operate independently to track targets, then system complexity is reduced, but coordination efficiency deteriorates
Solution Approach 1:
The base station serves as a central intermediary that manages drone coordination without requiring complex peer-to-peer communication between drones. It receives status information from all drones, makes centralized coordination decisions, and distributes control instructions, thereby improving coordination efficiency while keeping individual drone complexity low
Data Source
AI summary
A target tracking method includes receiving an initial video of a number of targets to be tracked acquired by a first mobile camera device, identifying the number of targets to be tracked in the initial video, tracking the plurality of targets to be tracked, and determining whether all of the targets to be tracked are within a tracking range of the first mobile camera device. If at least one target to be tracked is not within the tracking range of the first mobile camera device, at least one second mobile camera device is controlled to track the at least one target to be tracked that is not within the tracking range of the first mobile camera device.