Laser Velocimeter 3D Point Cloud Clustering for Speed Measurement
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Solution Overview
Problem
Current laser speed measurement technologies using single-line laser detectors face inaccuracies due to contour changes of vehicles and inability to distinguish between target and non-target objects, leading to reduced feasibility and accuracy in speed and position measurement.
Innovation Solution
The method involves acquiring three-dimensional point cloud data from multiple laser detectors, splitting it into areas using a clustering algorithm, screening for morphological characteristics, and determining object position and speed based on multiple frames of detection data to improve accuracy and reduce interference from contour changes and non-target objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-line laser detector is used for speed measurement, then device complexity is reduced, but measurement precision deteriorates due to contour changes and inability to distinguish target objects
Solution Approach 1:
The patent divides the detection space into multiple horizontal planes at different heights and segments the point cloud data into multiple areas using clustering algorithms. This segmentation allows the system to track specific target objects across multiple planes and distinguish them from non-target objects, thereby improving speed measurement precision without requiring an overly complex detector configuration
Solution Approach 2:
The patent transitions from two-dimensional detection (single horizontal plane) to three-dimensional detection by incorporating multiple horizontal planes at different heights. This dimensional expansion enables the system to track objects vertically across planes, distinguish target objects from background based on their spatial distribution, and improve speed measurement accuracy while maintaining reasonable device complexity
2Measurement precision
If multiple horizontal planes are used for detection, then measurement precision is improved through better object identification, but device complexity increases
Solution Approach 1:
The patent introduces point cloud data as an intermediary that bridges the multiple laser detectors and the speed calculation system. The point cloud data consolidates information from multiple horizontal planes into a unified three-dimensional representation, which is then processed through clustering algorithms to identify target objects. This intermediary approach enables accurate object identification across multiple planes without requiring direct complex interconnections between detectors
Solution Approach 2:
The patent creates a three-dimensional point cloud copy of the physical detection environment, which virtualizes the complex spatial relationships between multiple detectors and target objects. This digital copy allows for flexible processing and analysis of detection data from multiple planes without adding physical complexity to the detector configuration, enabling accurate target identification and speed measurement
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 enhances the accuracy of laser speed measurement by accurately identifying and tracking vehicles, reducing errors and false positives, and improving the overall performance of laser velocimeters.
Implementation Method 1
The laser ranging is to determine a distance between a measured object and a test point by emitting a laser beam to the measured object, receiving a reflected wave of the laser beam and recording a time difference
Implementation Method 2
The laser Doppler velocity technique is to carry out laser ranging twice with a specific time interval on the measured object to obtain a moving distance of the measured object during the time interval, thereby deriving the moving speed of the measured object
Data Source
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AI summary
The present disclosure provides a laser speed measuring method, control device and a laser velocimeter, and relates to the technical field of security inspection. The laser speed measuring method comprises the steps of: acquiring detection data within a predetermined detection angle range in a plurality of paralleled horizontal planes having different heights, from a plurality of laser rays detected towards a road extending direction in the horizontal plane; acquiring three-dimensional point cloud data according to the detection data; determining a position of a measured object in the road extending direction according to the three-dimensional point cloud data; and determining a speed of the measured object according to the position change of the measured object along the road extending direction at different timing.