Road Data Evaluation Reports on a Unified Verification Platform
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Solution Overview
Problem
Current autonomous driving solutions require significant research and development resources for validation and testing across different mass-produced models, necessitating multiple verification platforms for targeted verification.
Innovation Solution
A method and apparatus for generating a road data evaluation report that involves obtaining, desensitizing, and determining truth road data, using a general development verification platform to compare and evaluate road data from different sensors and systems, thereby reducing the need for multiple verification platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple verification platforms are used for targeted verification of different mass-produced models, then the accuracy and reliability of autonomous driving solution validation is improved, but the device complexity and R&D resources required increase significantly
Solution Approach 1:
The patent creates a unified verification platform that can handle multiple mass-produced models through standardized data processing pipelines. The system uses common infrastructure components (data acquisition modules, desensitization engines, evaluation report generators) that serve multiple models, eliminating the need for separate verification platforms for each model while maintaining validation reliability.
Solution Approach 2:
The verification process is divided into independent modular components: data acquisition module, desensitization module, evaluation module, and reporting module. Each module can be independently configured for different models through parameter settings rather than structural changes, allowing one platform to verify multiple models efficiently.
2Productivity
If standardized data processing and unified evaluation platforms are implemented, then R&D and testing resources are reduced, but the measurement precision and accuracy of road data evaluation may be compromised
Solution Approach 1:
The system maintains evaluation accuracy by allowing parameter customization within the standardized framework. Different models can have their specific evaluation criteria, thresholds, and weightings configured as parameters without changing the underlying processing architecture. This enables precise, model-specific evaluation while using a unified platform.
Solution Approach 2:
The patent introduces standardized data interfaces and protocols as intermediaries between diverse sensor sources and the evaluation engine. These intermediaries ensure consistent data transformation and normalization, preserving measurement precision across different models while enabling efficient standardized processing.
Data Source
AI summary
Disclosed are a method, an apparatus and a device for generating a road data evaluation report, and a computer-readable storage medium. The method includes: obtaining road data to be processed and road data to be evaluated; desensitizing the road data to be processed to obtain target road data; determining truth road data according to the target road data; and generating a road data evaluation report according to the truth road data and the road data to be evaluated.