Vehicle Door Opening Aid Using Camera Distance Detection
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Solution Overview
Problem
Existing vehicle systems lack effective assistance for users when entering or exiting through doors, particularly in preventing collisions with nearby objects during door operation.
Innovation Solution
A system utilizing a camera on the vehicle to obtain images of objects at the periphery, determining the distance between the object and the door, and initiating an audiovisual response to indicate potential collisions, employing structure from motion and semantic segmentation algorithms to estimate three-dimensional structures and detect objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera system with structure from motion and semantic segmentation is implemented to detect objects and determine distances, then collision prevention capability is improved, but device complexity increases
Solution Approach 1:
The system segments the detection task into multiple processing stages: image acquisition by camera, structure from motion processing to establish 3D geometry, semantic segmentation to identify object types, and distance calculation. This segmentation allows each module to be optimized independently while maintaining overall system reliability for collision prevention.
Solution Approach 2:
The controller serves as an intermediary that integrates data from the camera system, processes it through multiple algorithms (structure from motion, semantic segmentation), and generates the door control response. This intermediary architecture manages the complexity by centralizing the decision-making logic and coordinating between different functional components.
2Loss of time
If real-time image processing and distance determination are performed to provide timely audiovisual alerts, then safety response time is improved, but computational energy consumption increases
Solution Approach 1:
The system performs structure from motion processing and semantic segmentation in advance to establish the 3D structure and identify objects before the door opening action occurs. This preliminary processing allows the system to have collision risk information ready when the door operation is initiated, reducing the real-time computational burden and energy consumption during the critical response phase.
Solution Approach 2:
The camera system operates periodically to capture images at key moments (before door opening, during door operation), rather than continuously processing visual data. This periodic sampling reduces computational energy consumption while maintaining timely detection capability for safety alerts.
Data Source
AI summary
A system for assisting in the opening of a vehicle door includes a camera disposed on the vehicle for obtaining a plurality of images of an object at the periphery of the vehicle. The example system includes a controller which is configured to determine a distance between the object and a door of the vehicle based on the plurality of images and to initiate a vehicle response based on the distance.