Safety Exit Warning Control for Person-Vehicle Misclassification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The Safety Exit Assist (SEA) system malfunctions by incorrectly identifying a person approaching a host vehicle as another vehicle, leading to increased complexity and computational requirements.
Innovation Solution
An exit warning system that includes a target detection sensor and a controller to determine if a target's speed is less than or equal to a threshold and positioned within a specific distance from the vehicle door, and a passenger detection sensor to verify if the target is a person related to the host vehicle, thereby preventing the transmission of a warning signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultra-high-resolution mode is applied to distinguish a person from another vehicle, then measurement precision is improved, but device complexity and computational requirements are increased
Solution Approach 1:
The patent changes the parameters used for target identification from relying solely on ultra-high-resolution imaging to using multiple parameters including detection speed, position relative to vehicle door, and passenger sensor data. By monitoring whether the target's speed is below a threshold and position is within a specific distance from the vehicle door, the system achieves accurate identification without requiring computationally intensive ultra-high-resolution processing
Solution Approach 2:
The patent segments the identification process into multiple independent detection stages: target detection sensor identifies the target, calculates speed and position, condition determiner evaluates multiple conditions (speed threshold, position threshold, passenger presence), and correlation determiner makes the final identification. This segmentation allows each component to perform a specific function with lower computational requirements while maintaining high identification accuracy
2Measurement precision
If ultra-high-resolution mode is applied to distinguish a person from another vehicle, then measurement precision is improved, but computational requirements are increased
Solution Approach 1:
The patent replaces energy-intensive ultra-high-resolution image processing with parameter-based detection using speed thresholds and position thresholds. The target detection sensor monitors parameters such as detection speed and distance from the vehicle door, which require minimal computational energy compared to processing high-resolution images. This parameter change significantly reduces computational energy consumption while maintaining identification accuracy
Solution Approach 2:
The patent applies partial action by using only the necessary minimum detection parameters (speed and position) rather than full ultra-high-resolution imaging. The condition determiner evaluates whether the target meets specific conditions (speed below threshold, position within threshold distance) which requires minimal computational resources. This partial approach achieves sufficient identification accuracy without the excessive computational energy required for complete ultra-high-resolution processing
Data Source
AI summary
An exit warning system and a control method thereof are proposed to prevent a malfunction of a SEA system by distinguishing a person approaching a host vehicle from another vehicle, where the warning system includes a target detection sensor configured to detect a target approaching a host vehicle, and a controller configured to control not to transmit a warning signal of a safety exit assist system, in response to a speed of the target is less than or equal to a threshold speed and a position of the target is positioned within a distance from a vehicle door of the host vehicle.