Car Computer Detection of Vehicle Positioning Abnormalities
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Solution Overview
Problem
Current vehicle maintenance practices often detect abnormal conditions only during routine maintenance or after an accident, which insufficiently ensures vehicle safety, especially in electric and self-driving vehicles.
Innovation Solution
A vehicle positioning abnormality inspection method using a car computer with a CAN bus, which obtains driving data including vehicle positions, steering wheel angles, and speeds, performs deviation calculations, and outputs an abnormal notification if the deviation exceeds a tolerance value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle maintenance is performed only during routine maintenance or after accidents, then maintenance cost is reduced, but vehicle safety is insufficient
Solution Approach 1:
The system performs preliminary detection of vehicle abnormalities by continuously monitoring driving data and calculating deviations from standard driving patterns. This allows the system to identify potential issues before they become actual problems, enabling proactive maintenance rather than reactive maintenance after accidents or routine intervals.
Solution Approach 2:
The system establishes a feedback loop by continuously comparing actual driving data against standard driving patterns, calculating deviations, and providing real-time abnormality notifications to drivers. This feedback mechanism enables continuous monitoring and immediate detection of vehicle issues, improving safety without requiring frequent manual maintenance checks.
2Reliability
If continuous monitoring of driving data is implemented, then vehicle safety is improved, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach by leveraging existing vehicle sensors and controllers (OBD port, GPS module, accelerometer) that serve multiple purposes. The same sensors used for basic vehicle operation also provide data for safety monitoring, deviation calculation, and abnormality detection, thereby improving safety without significantly increasing system complexity.
Solution Approach 2:
The system performs self-service by automatically collecting, processing, and analyzing driving data without requiring external intervention. The car computer independently calculates deviations from standard driving patterns, identifies abnormalities, and provides notifications, reducing the need for complex external monitoring infrastructure.
Data Source
AI summary
A vehicle positioning abnormality inspection method, performed by a processing device includes: obtaining a plurality of groups of driving data, wherein each of the groups of driving data includes at least three vehicle positions, a steering wheel angle and a vehicle speed, performing a deviation calculation procedure on each of the groups of driving data to obtain a plurality of deviation data, and in response to a sum of the deviation data greater than a tolerance value, outputting an abnormal notification. The present disclosure further proposes a car computer.