Vehicle Congestion Assistant Signal Roughness Evaluation
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Solution Overview
Problem
The existing congestion assistant systems for motor vehicles face reliability issues due to unfavorable weather conditions, poor road marking quality, or presence in areas of roadworks, leading to unwanted deactivations caused by unreliable road line detection and noisy sensor signals.
Innovation Solution
A method that evaluates sensor data to determine signal roughness, generating a suppression signal to prevent automatic activation of the congestion assistant if the signal roughness exceeds a threshold value, ensuring reliable operation by only activating the system with stable and reliable sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the congestion assistant is activated automatically based on sensor data, then the system provides automated driving support and improves convenience, but the system may deactivate unexpectedly due to noisy sensor signals or poor road marking detection
Solution Approach 1:
The system performs preliminary evaluation of sensor data quality by calculating signal roughness before activating the congestion assistant. This preliminary check prevents activation when sensor data is unreliable, thereby avoiding unexpected deactivations and improving system reliability while maintaining automated driving support functionality.
Solution Approach 2:
The system continuously monitors sensor data quality through signal roughness calculation and uses this feedback to determine whether to activate or maintain congestion assistant operation. This closed-loop feedback mechanism ensures the system responds appropriately to changing sensor data quality, preventing unwanted deactivations while maintaining automated support.
2Productivity
If the system activates congestion assistant in all conditions, then the system maximizes productivity by providing continuous automated support, but the system operates with unreliable data leading to deactivations
Solution Approach 1:
Before activating the congestion assistant, the system performs a preliminary assessment of sensor data reliability by calculating signal roughness metrics. This preliminary action ensures that productivity is maximized only when measurement precision is sufficient, preventing activations that would lead to deactivations due to unreliable data.
Solution Approach 2:
The system changes the operational parameter of congestion assistant activation based on the signal roughness parameter. When signal roughness exceeds a threshold indicating poor measurement precision, the system changes the activation state to inactive, thereby maintaining productivity only when sensor data reliability is adequate.
Data Source
AI summary
The disclosure relates to a method and system to operate a motor vehicle with a congestion assistant. The congestion assistant enters sensor data, which serves as input data of the congestion assistant. The sensor data is evaluated, via an evaluation unit, in order to define a value representing a signal roughness of the sensor data. The value is compared, via a comparison unit, with a threshold value. A suppression signal is generated, via a signal detection unit, to prevent automatic activation of the congestion assistant if the value is greater than the threshold value.