Pedal Stimulus Shape Analysis for Unintended Object Detection
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Solution Overview
Problem
Unintended objects engaging vehicle pedals can cause unintentional acceleration or braking, posing safety risks for drivers and others.
Innovation Solution
A system comprising a sensor system and a stimulus classification module that monitors vehicle pedals, determines the shape of detected stimuli, and performs operations to differentiate between intended and unintended stimuli, such as issuing notifications or disregarding pedal signals, to prevent unintended vehicle responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle pedal is monitored without shape analysis, then the response speed is fast, but the accuracy of detecting unintended objects is low
Solution Approach 1:
The stimulus detection system is segmented into multiple functional modules: stimulus detection module, shape analysis module, and classification module. Each module processes specific aspects of the stimulus independently, improving accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system transitions from simple presence detection to multi-dimensional analysis by incorporating shape characteristics. The shape analysis module examines geometric properties such as area, perimeter, and curvature of the stimulus, adding dimensional complexity to achieve more accurate identification of unintended objects.
2Measurement precision
If shape analysis is performed on all stimuli, then the accuracy of unintended object detection is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary shape analysis on detected stimuli to classify them before triggering full vehicle responses. By pre-analyzing the shape characteristics and identifying potential unintended objects in advance, the system reduces overall processing time while maintaining high detection accuracy.
Solution Approach 2:
The system applies partial shape analysis only when necessary - when the detected stimulus meets certain threshold criteria that suggest it might be an unintended object. This selective analysis approach reduces unnecessary processing time while maintaining comprehensive detection capability.
3Reliability
If the system responds to all detected stimuli, then the responsiveness is high, but the false positive rate increases
Solution Approach 1:
The system incorporates feedback mechanisms where the shape analysis results feed back into the classification decision. The classification module continuously refines its determination of whether a stimulus is intended or unintended based on shape characteristics, reducing false positives while maintaining reliable response to genuine stimuli.
Solution Approach 2:
The shape analysis module acts as an intermediary between the stimulus detection module and the vehicle control system. It filters and classifies detected stimuli before they trigger vehicle responses, preventing false positive actions while maintaining accurate response to legitimate driver inputs.
Data Source
AI summary
A system and method for monitoring a vehicle pedal are disclosed. According to the present disclosure, the method comprises determining whether a stimulus has been detected at the vehicle pedal. When the stimulus has been detected, the method comprises receiving sensor data from a sensor system, the sensor data being indicative of a shape of the stimulus, and determining whether the shape of the stimulus corresponds to an unintended object based on the sensor data. When the shape of the stimulus corresponds to an unintended stimulus, the method comprises performing an unintended stimulus operation.