Vehicle DAS Performance Evaluation Using Telematics Benchmarks
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Solution Overview
Problem
Existing systems struggle to objectively assess the performance of vehicles equipped with driving automation systems (DAS) across different vehicle types and driving environments, making it difficult for entities to evaluate maneuvering, handling characteristics, and overall performance.
Innovation Solution
A system and method utilizing telematics data from vehicles to evaluate DAS performance by comparing actual performance metrics with historical data, considering vehicle type and driving context, and adjusting DAS operations based on calculated scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If telematics data collection and analysis systems are implemented to evaluate DAS performance, then measurement precision and objectivity of performance assessment are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex evaluation process into distinct modules: data collection from multiple sensors, data processing and filtering, performance metric calculation, and result presentation. This modular approach maintains measurement precision while making the overall system more manageable and less complex.
Solution Approach 2:
The patent introduces intermediary processing layers between raw telematics data and performance evaluations. These intermediaries include data filtering mechanisms, normalization processes, and comparison algorithms that reference historical data and environmental context, thereby improving assessment accuracy without requiring direct complex analysis of all raw data.
2Reliability
If comprehensive telematics data from multiple sources is collected and analyzed, then reliability and objectivity of DAS performance evaluation are improved, but loss of time and data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and organizing historical DAS performance data and environmental context data before actual performance evaluations are needed. This pre-processing creates reference datasets that can be quickly compared against new telematics data, maintaining evaluation reliability while reducing real-time processing time.
Solution Approach 2:
The patent implements continuous data collection and background processing of telematics information, maintaining ongoing evaluation processes rather than batch processing. This allows the system to continuously refine performance assessments using incoming data streams, improving reliability through continuous monitoring while distributing processing load over time rather than concentrating it in discrete analysis periods.
Data Source
AI summary
A computer-implemented method can include: receiving, by a computing device, driving data of a vehicle indicative of a driving automation system (DAS) operating the vehicle; receiving, by the computing device, historical system DAS rating data for a vehicle type of the vehicle; analyzing, by the computing device, a historical DAS score associated with the vehicle type with a DAS score for the vehicle to calculate a DAS rating for the vehicle; and adjusting, by the computing device, the DAS operation of the vehicle based upon the DAS rating for the vehicle. Other embodiments are described.