Autonomous Vehicle Driving Property Index Export via Curve Fitting
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Solution Overview
Problem
Current methods for acquiring driving property indices for autonomous vehicles lack accuracy, which is crucial for safe and effective autonomous driving.
Innovation Solution
A method and apparatus that construct a driving scenario using preset parameters, acquire driving state information, fit curves to the data, and analyze these curves to derive and export driving property indices such as steering, acceleration, and deceleration indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods for acquiring driving property indices are used, then the process is simple, but the accuracy of driving property indices is low
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple driving scenarios (straight driving, left turn, right turn, acceleration, deceleration, lane changing) with specific parameters before actual data collection. This preparation enables systematic and accurate acquisition of driving property indices under controlled conditions, resolving the contradiction between measurement precision and process complexity by structuring the acquisition process in advance
Solution Approach 2:
The patent segments the driving property index acquisition into distinct scenarios (straight driving, turning, acceleration, deceleration, lane changing) and measures each scenario separately with specific parameters. This segmentation allows comprehensive and accurate measurement of different driving characteristics while maintaining organizational clarity, thus improving measurement precision without overwhelming complexity
2Measurement precision
If comprehensive driving scenarios are tested to improve accuracy, then the accuracy of driving property indices improves, but the time and complexity of testing increases
Solution Approach 1:
By pre-defining all necessary driving scenarios and their parameters before testing, the system eliminates the need for ad-hoc scenario design during testing. This preliminary preparation enables efficient execution of comprehensive tests, reducing overall testing time while maintaining high measurement precision through systematic coverage of all driving conditions
Solution Approach 2:
The patent employs periodic action by collecting driving state information at fixed time intervals (e.g., every 100ms) during each driving scenario. This periodic data collection ensures comprehensive coverage of dynamic driving states without requiring continuous monitoring, thus achieving high measurement accuracy while controlling testing time through structured sampling
Data Source
AI summary
Embodiments of the present disclosure disclose a method and apparatus for exporting a driving property index of an autonomous vehicle. A specific implementation of the method comprises: constructing a driving scenario of an autonomous vehicle by using a preset driving parameter; acquiring a driving state information set of the autonomous vehicle under the driving scenario; fitting a driving curve by using the driving state information set; and acquiring and exporting a driving property index of the autonomous vehicle by analyzing the driving curve. The implementation improves the accuracy of the acquired driving property index of the autonomous vehicle, controls the autonomous vehicle on the basis of the driving property index of high accuracy, and is helpful to realize safe driving of the autonomous vehicle.