Radar Point-Cloud Tracking for Static-State Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar point cloud processing technologies struggle to track the movement trajectory of static objects and determine their state when point cloud information is lost, leading to uncertainty about the object's location or departure from the detection region.
Innovation Solution
An object tracking method that utilizes range, Doppler, and angle processing of radar echoes to generate point-cloud images, recognizing clusters and peak values to differentiate between dynamic and static targets, allowing continuous tracking even when point clouds disappear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Doppler processing is performed to track moving objects, then dynamic target tracking is improved, but static object tracking capability deteriorates
Solution Approach 1:
The patent segments the tracking process into two distinct modes: dynamic target tracking using Doppler processing and static object tracking using point cloud position analysis. By dividing the tracking function based on object motion state, the system can apply appropriate processing methods for each case, resolving the contradiction between dynamic tracking precision and static tracking reliability
Solution Approach 2:
The patent changes the processing parameters based on the detection results. When an object is detected as static (no Doppler shift), the system switches from Doppler-based tracking to point cloud position-based tracking. This parameter change allows the system to maintain high reliability for static objects while preserving dynamic tracking capability
2Productivity
If conventional point cloud processing is used, then moving object tracking is effective, but static object state determination fails when point cloud disappears
Solution Approach 1:
The patent introduces position information from point cloud data as an intermediary to maintain tracking of static objects when Doppler-based point cloud information disappears. By using the positional coordinates as a mediator, the system can continue to track and determine the state of static objects even when traditional point cloud methods fail
Solution Approach 2:
The patent performs preliminary classification of objects as static or dynamic using Doppler processing before applying the appropriate tracking method. This preliminary action allows the system to prepare the correct tracking approach in advance, preventing information loss by ensuring static objects are handled with position-based methods before point cloud disappearance occurs
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
Enables accurate determination of whether a tracking target is static or has departed by analyzing point-cloud images, ensuring continuous object tracking and state recognition.
Implementation Method 1
collecting and demodulating, by a radar unit, a radar echo to obtain a digital signal
Implementation Method 2
performing range processing, Doppler processing, and angle processing on the digital signal
Data Source
AI summary
An object tracking method based on radar point cloud includes the following steps: performing range processing, Doppler processing, and angle processing on a digital signal to obtain a first point-cloud image; recognizing whether there is a first cluster in the first point-cloud image; and recording a first location of the first cluster in response to recognizing that there is the first cluster in the first point-cloud image; or performing range processing and angle processing on the digital signal to obtain a second point-cloud image in response to recognizing that there is not the first cluster in the first point-cloud image; recognizing whether there is a second cluster at a corresponding recorded first location in the second point-cloud image; and recognizing that a tracking target is in a static state in response to recognizing that there is the second cluster at the first location.