Vehicle Data Collection Control for Self-Testing Autonomous Driving
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Solution Overview
Problem
The high cost of professional sites and personnel required for testing and calibrating automatic driving vehicles limits the scalability and accessibility of automatic driving technology, particularly for small companies and research teams.
Innovation Solution
A method and system that automatically detects and analyzes the test environment, allowing for data collection using onboard sensors and cloud-based processing, reducing the need for high-cost professional sites and personnel by controlling data collection devices based on environmental requirements and production flows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If professional test sites and personnel are used for testing and calibrating automatic driving vehicles, then testing reliability and data quality are improved, but cost and resource requirements increase significantly
Solution Approach 1:
The system enables automatic self-testing and self-calibration of the automatic driving vehicle. The control device automatically controls collection devices to collect test data, performs calibration based on the data, and determines whether calibration passes without requiring professional operators,实现ing the system serves itself
Solution Approach 2:
The patent replaces manual professional testing operations with an automated control system that uses algorithms and software to perform testing, calibration, and data analysis, substituting mechanical human operations with automated electronic systems
2Measurement precision
If professional test sites and equipment are used for automatic driving vehicle testing, then measurement precision and data accuracy are improved, but cost increases significantly
Solution Approach 1:
The collection devices on the automatic driving vehicle serve multiple functions: they collect both test data for calibration and operational data for performance evaluation, allowing a single device to perform multiple measurement tasks that previously required specialized equipment
Solution Approach 2:
The system uses the vehicle's existing onboard sensors and collection devices to create copies of professional testing capabilities, allowing the vehicle to perform its own calibration and testing using duplicated sensing functions rather than requiring external professional equipment
3Measurement precision
If manual testing operations are used for automatic driving vehicle calibration, then measurement accuracy is maintained, but productivity and testing efficiency decrease
Solution Approach 1:
The automated calibration process allows for continuous testing and calibration operations without interruption by manual processes. The control device continuously collects data, processes it, and adjusts calibration parameters without stopping, maintaining continuous useful action throughout the testing process
Solution Approach 2:
The system implements automatic feedback loops where test results are immediately fed back to the control device, which then automatically adjusts calibration parameters based on the feedback, enabling rapid iterative calibration that maintains accuracy while increasing speed
4Reliability
If extensive professional resources are allocated for automatic driving vehicle testing, then testing reliability is improved, but ease of operation and accessibility worsen
Solution Approach 1:
The automatic driving vehicle performs self-testing and self-calibration using its own onboard collection devices and control systems, eliminating the need for external professional operators and making the system accessible to users without specialized testing expertise
Solution Approach 2:
Instead of having professional test sites test the vehicle, the vehicle tests itself using its own sensors and systems, inverting the traditional testing relationship and making the vehicle both the test subject and the testing instrument
Data Source
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AI summary
A method includes: acquiring environmental data of a current environment where a vehicle is located; in response to determining, according to the environmental data, that the current environment meets an environment collection requirement, controlling, according to a current production flow of the vehicle, one or more collection devices of the vehicle to perform data collection, the one or more collection devices correspond to the current production flow; and controlling the data collection of the one or more collection devices based on a data collection situation of the one or more collection devices.