Laser Scanning Resolution Adaptation for Target Detection
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Solution Overview
Problem
Laser scanning technologies face challenges in maintaining accuracy and efficiency when targets change or disappear within a larger scanning range, leading to reduced positioning and tracking accuracy.
Innovation Solution
A target detection method that involves scanning a preset area with varying resolutions, where a first scanning resolution is used to detect targets, followed by a second scanning resolution for fine scanning areas and a third scanning resolution for observation areas, to enhance point cloud density and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a uniform high scanning resolution is applied to the entire preset scanning area, then the target detection accuracy is improved, but the scanning efficiency and processing time are reduced
Solution Approach 1:
The patent divides the preset scanning area into multiple scanning sub-areas with different scanning resolutions. The target detection unit determines which sub-areas require high-resolution scanning based on target presence, and adjusts the scanning resolution for each sub-area accordingly. This local differentiation allows high accuracy where needed while maintaining overall scanning efficiency.
Solution Approach 2:
The patent dynamically adjusts the scanning resolution for different scanning sub-areas based on real-time target detection results. The resolution adjustment is not static but changes according to the detected target's position and characteristics, optimizing the balance between detection accuracy and scanning efficiency adaptively.
2Measurement precision
If the scanning resolution is increased to improve point cloud density, then the target positioning accuracy is improved, but the data processing complexity and time are increased
Solution Approach 1:
The patent applies high scanning resolution only to specific scanning sub-areas where targets are detected, rather than uniformly across the entire preset scanning area. This localized approach increases point cloud density and positioning accuracy for relevant regions while avoiding the processing complexity burden of high-resolution scanning across all areas.
3Area of stationary object
If the scanning range is expanded to cover a larger area, then the target detection coverage is improved, but the positioning accuracy and tracking precision are reduced
Solution Approach 1:
The patent divides the large preset scanning area into multiple scanning sub-areas and applies different scanning resolutions to each. High-resolution scanning is concentrated on sub-areas containing targets, while other sub-areas use lower resolution. This maintains comprehensive coverage while ensuring high positioning accuracy for detected targets.
Solution Approach 2:
The patent segments the preset scanning area into multiple scanning sub-areas based on target detection results. This segmentation allows the system to manage large-area scanning by dividing it into manageable portions, applying appropriate resolution to each segment based on its content and importance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate target detection and positioning while monitoring environmental changes, improving safety and accuracy by adjusting scanning resolutions based on target presence and movement.
Implementation Method 1
laser scanning technology has the characteristics of accurate positioning and high efficiency and is often used in fields such as target positioning and tracking
Data Source
AI summary
A target detection method includes: scanning a preset scanning area with a first scanning resolution to obtain a first point cloud in a first scanning cycle; performing target detection on the first point cloud; when a target is detected, determining a fine scanning area and an observation scanning area based on the target, the fine scanning area corresponding to a position of the target in the preset scanning area, and the observation scanning area being an area in the preset scanning area except the fine scanning area; and scanning the fine scanning area with a second scanning resolution and scanning the observation scanning area with a third scanning resolution, to obtain a second point cloud in a second scanning cycle; wherein the second scanning resolution is greater than the first scanning resolution, and the third scanning resolution is less than or equal to the first scanning resolution.