Vehicle Door Control Using Motion-Based Boarding Detection
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Solution Overview
Problem
Existing autonomous driving vehicle technologies cannot determine whether a user will board the vehicle without obtaining cooperation from the passenger, limiting the vehicle's ability to autonomously open its door for boarding.
Innovation Solution
A control apparatus that receives motion data from users outside the vehicle, using image analysis, position information, or weight sensors to make a boarding determination, and can communicate with a traveling management apparatus to confirm or request administrator input for door control, allowing the vehicle to autonomously open its door based on calculated probabilities or administrator decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle uses autonomous driving technology without passenger cooperation for boarding determination, then the automation level and operational efficiency are improved, but the reliability and accuracy of boarding determination deteriorate
Solution Approach 1:
The boarding determination process is segmented into multiple independent analysis components: motion trajectory analysis, image recognition analysis, and position information analysis. Each component processes specific aspects of user behavior independently, and their results are combined to make the final determination. This segmentation allows the system to achieve high automation while maintaining reliability through multi-faceted verification.
Solution Approach 2:
The system introduces a traveling management apparatus as an intermediary that receives motion data from the vehicle and provides determination results back to the vehicle. This intermediary layer enables complex automated analysis and verification processes while maintaining clear communication channels between the vehicle and central management system, thereby improving both automation capability and determination reliability.
2Productivity
If the vehicle autonomously opens the door based on motion data analysis, then the operational efficiency and user convenience are improved, but the risk of incorrect door opening increases
Solution Approach 1:
The system performs preliminary analysis of motion data, images, and position information before executing the door opening action. The controller calculates the probability of boarding intention in advance and only triggers door opening when the probability exceeds the threshold. This preliminary verification process ensures that automated door opening operations are both efficient and accurate.
Solution Approach 2:
The system implements a feedback mechanism where the traveling management apparatus receives motion data from the vehicle, performs independent analysis, and returns determination results to the vehicle. This feedback loop allows the system to verify automated decisions through multiple analysis channels, reducing the risk of incorrect door opening while maintaining operational efficiency.
Data Source
AI summary
A control apparatus includes a communication unit configured to receive motion data indicating motion of at least one user outside a vehicle that moves along a route including at least one road, and a controller configured to make a boarding determination of determining whether the at least one user will board the vehicle based on the motion data received by the communication unit and execute, upon determining in the boarding determination that the at least one user will board the vehicle, control for opening a door of the vehicle.