Radar Hard-Example Identification via Obstacle Result Matching

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Solution Overview

Problem

Existing methods for determining hard example data for radar detection models are inefficient and greatly affected by manual intervention, leading to inaccurate results due to manual subjectivity.

Innovation Solution

A data processing method that involves comparing obstacle detection results from radar detection results with another detection result to determine whether the radar detection data is the radar detection data is compared with another detection result to determine if the data is the radar detection data for the radar detection model, and the radar detection data is the radar detection data for the radar detection model, and the radar detection data is the radar detection data for the radar detection model.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual methods are used to determine hard example data, then the process can be performed with simple tools, but the efficiency is low and the results are affected by manual subjectivity

Engineering Contradiction:

Improveaccuracy of hard example data determinationVSAvoidefficiency of hard example data determination

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual mechanical determination methods with an automated computer-based system that uses detection apparatus and models to automatically identify hard example data, eliminating manual subjectivity and improving both accuracy and efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the detection apparatus and models to automatically determine hard example data without human intervention, using predefined criteria and algorithms to identify data that requires improved detection accuracy

Inventive Principle:

Principle #25Self-service

2Reliability

If manual determination of hard example data is performed, then device complexity is low, but measurement precision and reliability are reduced due to subjective factors

Engineering Contradiction:

Improveconsistency of hard example data determinationVSAvoidcomplexity of determination system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual determination with an automated system comprising detection apparatus, models, and a processing system that objectively identifies hard example data based on detection results, eliminating human subjectivity and improving reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary processing system that acts as a mediator between the detection apparatus and the hard example data identification process, using standardized criteria and algorithms to ensure consistent and reliable determination

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250391273A1Data Processing Method, Readable Storage Medium, and Electronic Device

Publication Date: 2025.12.25 HUAWEI TECH CO LTD

AI summary

A first obstacle detection result obtained by inputting, to a first model, data collected by a first detection apparatus of a vehicle at a first moment, an obstacle detection result generated by the first model based on data collected by the first detection apparatus at another moment, and/or an obstacle detection result generated based on data of a second detection apparatus are matched in a comparison area; and then whether first detection data is hard example data for the first model is determined based on a result of the matching.