Autonomous Vehicle Sensor Range Adjustment for Predicted Conditions
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Solution Overview
Problem
Autonomous vehicle sensors often capture sensory inputs outside their operational range, leading to unusable or less effective data for predictive driving decisions, as existing technologies fail to dynamically adjust sensor settings based on predicted environmental states.
Innovation Solution
The system determines when a predicted environmental state is associated with sensory inputs outside a sensor's operating range and modifies the sensor settings to operate within a new range, using algorithms and machine learning models to adjust exposure settings or other configurations to ensure usable data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor settings are kept fixed within a particular operational range, then device complexity is reduced and ease of operation is improved, but sensor data becomes unusable when environmental conditions cause sensory inputs to fall outside the operational range
Solution Approach 1:
The patent implements dynamic adjustment of sensor operational ranges by detecting environmental conditions and automatically modifying sensor settings. The system transitions from static, fixed operational ranges to dynamic, adaptive ranges that respond to changing environmental states, ensuring sensor data remains usable across varying conditions without requiring complex manual intervention.
Solution Approach 2:
The system changes sensor operational parameters (such as exposure settings for cameras) based on detected environmental conditions. By monitoring environmental sensors and adjusting the operational parameters of primary sensors accordingly, the system maintains data usability through parameter adaptation rather than through complex device architecture.
2Loss of information
If sensor operational range is fixed, then ease of operation is improved, but loss of information increases when sensory inputs fall outside the operational range
Solution Approach 1:
The system enables sensors to self-adjust their operational ranges by detecting environmental conditions and automatically modifying their own settings. This self-service mechanism eliminates the need for manual sensor configuration while preventing information loss, as the sensor autonomously adapts to maintain optimal operational parameters based on real-time environmental feedback.
Solution Approach 2:
The system implements a feedback loop where environmental sensors continuously monitor conditions and provide input to automatically adjust the operational ranges of primary sensors. This closed-loop feedback mechanism ensures that sensor data quality is maintained by continuously adapting operational parameters based on actual environmental conditions, preventing information loss without requiring manual intervention.
Data Source
AI summary
Modifying settings of autonomous vehicle sensors based on predicted environmental states, including: determining, based on sensor data, that a predicted environmental state of the autonomous vehicle is associated with a sensory input outside an operating range of a sensor; determining a modified operating range of the sensor; and modifying one or more sensors to operate according to the modified operating range.