Laser UAV Tracking Mode Selection Under Atmospheric Turbulence
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Solution Overview
Problem
Existing target tracking systems face challenges in efficiently tracking unmanned aerial vehicles (UAVs) due to atmospheric turbulence, which affects image clarity and requires high computation costs and long processing times for image recognition, leading to inefficient laser countermeasures.
Innovation Solution
A target tracking device that includes a weather observation system to determine tracking modes based on atmospheric conditions and target position, selecting between precision and rough tracking without relying on image recognition, thereby reducing computation costs and increasing processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition technology is used to determine target clarity, then the vulnerable part of the target can be identified, but the computation cost increases and processing time lengthens
Solution Approach 1:
The patent segments the tracking process into two distinct modes: precision tracking for clear images and rough tracking for blurred images. This segmentation allows the system to apply different processing strategies based on atmospheric conditions, avoiding the need for computationally intensive image recognition when the image is blurred, thus reducing processing time while maintaining identification accuracy when conditions permit.
Solution Approach 2:
The patent implements dynamic switching between precision tracking and rough tracking modes based on real-time atmospheric conditions and image quality assessment. This dynamic adaptation allows the system to optimize processing speed by using rough tracking when atmospheric turbulence degrades image quality, while maintaining high accuracy through precision tracking when conditions are favorable.
2Measurement precision
If precision tracking mode is used to focus on vulnerable part, then laser countermeasure accuracy is improved, but processing speed decreases due to high computation cost
Solution Approach 1:
The patent divides the tracking system into two operational segments: precision tracking that uses AI-based image recognition for accurate vulnerable part identification, and rough tracking that uses simplified center-of-gravity calculation. This segmentation enables the system to achieve high laser irradiation accuracy when needed while maintaining fast processing speeds through the rough tracking alternative.
Solution Approach 2:
The patent changes the processing parameters dynamically by switching between detailed image analysis (precision tracking) and simplified geometric calculation (rough tracking). This parameter change allows the system to adjust its computational depth based on atmospheric conditions, optimizing both accuracy and processing speed for different operational scenarios.
3Reliability
If atmospheric turbulence is present, then image clarity deteriorates, but the system can still track target by using rough tracking mode based on position information
Solution Approach 1:
The patent implements a dynamic tracking system that automatically adapts its mode based on atmospheric conditions. When atmospheric turbulence degrades image quality, the system dynamically switches to rough tracking mode that relies on position information from radar or other sensors, maintaining tracking reliability without depending on degraded visual information.
Solution Approach 2:
The patent introduces position information from alternative sensors (such as radar) as an intermediary when image quality deteriorates due to atmospheric turbulence. This intermediary data source allows the system to maintain tracking capability and reliability by using rough tracking mode that does not depend on clear visual information.
Data Source
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AI summary
Provided are a target tracking device that efficiently tracks a target, a target tracking method, and a recording medium for storing a target tracking program. This target tracking device comprises a determination condition selector and a tracker. The determination condition selector selects a tracking mode for tracking a detected target from among a plurality of tracking modes on the basis of a group of determination conditions related to the position of the target. The tracker tracks the target in the selected tracking mode. The plurality of tracking modes include a first tracking mode that focuses on the vulnerable portion of the target and a second tracking mode that focuses on the center of gravity of the target. The target tracking device further comprises a coping device that irradiates the focused portion of the target with a laser beam to cope with the target.