Radar Object Detection Speed Calculation via Sub-Cluster Segmentation
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Solution Overview
Problem
Existing radar detection systems face challenges in accurately determining the traveling speed of an object when parts of the object, such as rotating wheels or moving limbs, have different speeds from the main body, leading to inaccurate calculations.
Innovation Solution
An object detection device that acquires capture points from radar measurement data, generates clusters, divides them into sub-clusters based on traveling direction and speed differences, and calculates the object's speed using the sub-cluster corresponding to the main part, thereby isolating the effect of parts with different speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measurement data in a cluster area is used to determine object speed, then the speed calculation uses available data, but the accuracy degrades when parts of the object move independently
Solution Approach 1:
The patent segments the cluster of measurement data into multiple sub-clusters based on speed characteristics. By dividing the data into groups with similar speed profiles, the system can identify and separate the main object from parts moving at different speeds (such as rotating wheels), thereby improving speed measurement accuracy without overly complicating the processing through selective data grouping
Solution Approach 2:
The patent applies local quality by assigning different processing treatments to different portions of the measurement data. Specifically, it identifies sub-clusters corresponding to different object parts and applies speed determination only to the main object sub-cluster, giving different 'quality' of processing attention to different data regions based on their relevance to the main object's motion
2Reliability
If measurement data from all parts of an object is used, then complete object coverage is achieved, but parts with independent motion (wheels, limbs) contaminate the speed calculation
Solution Approach 1:
The patent segments the measurement data into multiple sub-clusters based on speed characteristics, allowing the system to identify which sub-clusters correspond to the main object versus parts with independent motion. This segmentation enables selective use of data from different object parts, maintaining reliability by excluding contaminating data while preserving information about the parts themselves for other purposes
Solution Approach 2:
The patent extracts and separates sub-clusters corresponding to parts with independent motion (such as rotating wheels or moving limbs) from the main object's data. By taking out these contaminating portions into separate sub-clusters, the system can determine the main object's speed using only the relevant data, while still retaining information about the separated parts for additional analysis or monitoring
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 allows for accurate determination of the traveling speed of the main part of an object, improving collision detection and traffic management systems by reducing errors caused by parts moving at different speeds.
Implementation Method 1
measurement information including at least one of an electric power profile and a Doppler speed profile generated by one or more radar devices using reflected wave from the object
Implementation Method 2
Doppler speed profile generated by one or more radar devices using reflected wave from the object
Data Source
AI summary
An object detection device includes a sub-cluster generating circuitry which, in operation, divides a cluster generated by a cluster generator into one or more first sub-clusters each corresponding to a part of an object having a different traveling direction or traveling speed from a main part of the object and a second sub-cluster corresponding to the main part of the object; and a speed calculating circuitry which, in operation, uses one or more capture points belonging to the second sub-cluster and calculates a traveling speed of the object.