Automated Driving Sensor Control for Predicted Detection Loss
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Solution Overview
Problem
Automated driving systems face frequent interruptions due to deteriorating detection capabilities of outside-monitoring sensors, such as cameras, in adverse weather conditions or poor road visibility, leading to reduced user convenience as drivers must repeatedly suspend secondary tasks to monitor the vehicle.
Innovation Solution
A vehicle control device and method that predict the detection capability of outside-monitoring sensors using historical data and dynamic map information, initiating temporary controls, like adjusting lighting or inter-vehicle distance, to prevent or extend the time before detection capability falls below the required level, thereby reducing automated driving interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated driving is executed continuously without interruption, then user convenience is improved, but detection capability deterioration in adverse weather causes safety issues
Solution Approach 1:
The system performs preliminary actions by predicting sensor detection capability deterioration before it actually occurs. The prediction unit forecasts when detection capability will fall below required levels, and the control unit proactively adjusts vehicle operations (such as reducing speed or increasing following distance) in advance, preventing interruptions before they happen and maintaining both user convenience and safety.
2Reliability
If automated driving is interrupted frequently to monitor sensor performance, then detection capability is maintained, but user convenience deteriorates due to repeated task suspension
Solution Approach 1:
The system implements feedback by continuously monitoring sensor output signals and using this information to predict future detection capability levels. The prediction unit analyzes historical sensor data and current conditions to forecast when detection capability will deteriorate, providing continuous feedback that enables proactive control adjustments without requiring user intervention or driving interruptions.
3Measurement precision
If prediction time period is extended to improve prediction accuracy, then detection capability forecasting is improved, but response time to actual deterioration is delayed
Solution Approach 1:
The system applies dynamics by adaptively adjusting the prediction time period based on current driving conditions and sensor performance trends. When detection capability is stable, longer prediction periods improve accuracy. When deterioration is detected or conditions change rapidly, the system shortens the prediction period to ensure timely response, dynamically optimizing the balance between prediction accuracy and response time.
Data Source
AI summary
A vehicle control technique is used for execution of an automated driving of a vehicle. The automated driving is a control for autonomously driving the vehicle based on an output signal of an outside-monitoring sensor. In the vehicle control technique, it is predicted whether a detection capability of the outside-monitoring sensor falls below a required level within a prediction time period from a current time based on a history of the output signal of the outside-monitoring sensor or dynamic map data related to a road section through which the vehicle is scheduled to pass. The required level corresponds to a performance quality of the outside-monitoring sensor required to continue the automated driving. A predetermined temporary control is started during the automated driving based on a fact that the detection capability is predicted to fall below the required level within the prediction time period.