Vehicle Sensor Recalibration Triggers for Shock-Induced Misalignment
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Solution Overview
Problem
Autonomous and semi-autonomous vehicles require precise sensor calibration to accurately navigate and perform safety functions, but existing systems fail to dynamically detect and respond to sensor misalignments and faults caused by shocks, vibrations, and environmental changes, leading to potential hazards and safety inefficiencies.
Innovation Solution
A computing system that monitors vehicle sensors for recalibration triggers, including shocks and component changes, and outputs alerts to users, automatically performing intrinsic and extrinsic recalibrations as needed to maintain accurate sensor alignment and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are continuously monitored and dynamically recalibrated, then safety and measurement precision are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary calibration of sensors during manufacturing or initial setup, establishing baseline parameters before deployment. This preliminary action reduces the need for continuous complex monitoring during operation, as the system only needs to detect deviations from the pre-established baseline rather than performing full recalibrations continuously.
Solution Approach 2:
The monitoring system implements feedback mechanisms where sensor data is continuously analyzed and compared against calibration thresholds. When deviations exceed predetermined thresholds, the system triggers targeted recalibration only for affected sensors rather than system-wide recalibration, balancing safety with reduced processing complexity.
2Measurement precision
If full recalibration is performed frequently, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
Instead of performing complete system-wide recalibration frequently, the system applies partial recalibration only to specific sensors that exhibit calibration drift or are affected by detected events (e.g., shocks, vibrations). This selective approach maintains measurement precision for affected sensors while minimizing the time loss associated with recalibration operations.
Solution Approach 2:
The system implements periodic calibration checks at predetermined intervals or after specific triggering events (such as detected shocks, vibrations, or environmental changes). This periodic approach ensures measurement precision is maintained when needed while avoiding unnecessary recalibrations during normal operation, thereby reducing time loss.
3Measurement precision
If sensor calibration thresholds are set low, then measurement precision is improved, but false alarms increase reducing ease of operation
Solution Approach 1:
The system implements different calibration thresholds and monitoring sensitivity levels for different sensor types and locations based on their specific operational characteristics and vulnerability to environmental factors. Critical sensors with high safety impact use lower thresholds for higher sensitivity, while less critical sensors use higher thresholds to reduce false alarms, optimizing both precision and ease of operation locally for each sensor.
Solution Approach 2:
The system dynamically adjusts calibration thresholds and monitoring parameters based on operating conditions, environmental factors, and historical performance data. Thresholds are modified in response to detected patterns, such as increasing thresholds during periods of high vibration or changing environmental conditions, thereby maintaining measurement precision while adapting to reduce false alarm rates under varying operational contexts.
Data Source
AI summary
A vehicle computing system can monitor a vehicle using one or more sensors based on a set of sensor calibration triggers. Based on monitoring the vehicle, the computing system can detect a sensor calibration trigger of the set of sensor calibration triggers. In response to detecting the sensor calibration trigger, the computing system can output a recalibration alert to a user, where the recalibration alert notifies the user to recalibrate a sensor system of the vehicle.