Vehicle Sensor Self-Calibration for Detecting Moved Sensors
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Solution Overview
Problem
Autonomous vehicles face challenges in detecting faulty sensors while operating in uncontrolled environments, as existing methods require manual intervention and may not efficiently identify sensors that have moved or become inoperative, posing risks to vehicle operation and safety.
Innovation Solution
A system comprising a processor, memory, and sensors that perform self-calibration routines to determine calibration parameter values, automatically detecting sensors that have moved or become inoperative by comparing these values with predetermined acceptable ranges, and initiating remedial actions while the vehicle is in motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual intervention methods are used to detect faulty sensors, then detection accuracy can be maintained, but response time increases and operational efficiency decreases
Solution Approach 1:
The sensor system performs self-diagnosis by automatically comparing calibration parameters against stored reference values to detect faults, eliminating the need for manual intervention while maintaining detection accuracy and reducing response time
Solution Approach 2:
The system continuously monitors calibration parameters and provides real-time feedback by comparing current values with reference values, enabling automatic fault detection and immediate remedial actions without manual involvement
2Reliability
If continuous monitoring of calibration parameters is performed, then sensor reliability is improved, but computational load and processing requirements increase
Solution Approach 1:
The system performs monitoring only at critical calibration parameter thresholds and during specific operational conditions, rather than continuous full-scale monitoring, reducing computational energy consumption while maintaining sensor reliability
Solution Approach 2:
The system changes monitoring intensity based on operational parameters, increasing scrutiny when calibration parameters approach critical values and reducing monitoring load during normal operation, optimizing the balance between reliability and energy consumption
3Reliability
If automatic remedial actions are implemented, then operational safety is improved, but system complexity increases
Solution Approach 1:
The system automatically executes pre-programmed remedial actions when faults are detected, such as switching to backup sensors or adjusting calibration parameters, improving operational safety without requiring complex real-time decision-making systems
Solution Approach 2:
The system pre-programs multiple remedial actions in advance for various fault conditions, allowing automatic execution when faults occur without requiring complex real-time analysis, thus improving safety while maintaining manageable system complexity
Data Source
AI summary
In an embodiment, a processor is configured to perform, while a vehicle is driving in an uncontrolled environment, a self-calibration routine for each sensor from the plurality of sensors to determine at least one calibration parameter value associated with that sensor. The processor is further configured to determine, while the vehicle is driving in the uncontrolled environment, and automatically in response to performing the self-calibration routine, that at least one sensor from the plurality of sensors has moved and/or is inoperative based on the at least one calibration parameter value associated with the at least one sensor being outside a predetermined acceptable range. The processor is further configured to perform, in response to determining that at least one sensor from the plurality of sensors has moved and/or is inoperative, at least one remedial action at the vehicle while the vehicle is driving in the uncontrolled environment.