Vehicle Driving Posture Control Using Image-Based Body Sizing
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Solution Overview
Problem
Current smart driving posture control systems lack the ability to dynamically adjust vehicle settings based on individual user body types without manual input, leading to suboptimal driving postures that may not fit the user's physical characteristics.
Innovation Solution
A smart driving posture control system that uses an image sensor to extract human body feature information, applies a statistical prediction model to recommend optimal driving postures, and adjusts vehicle settings such as seat, steering wheel, and head-up display positions based on user body information, allowing for real-time adjustments and updates based on user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual button adjustment is used to set driving posture, then the system is simple to implement, but the driving posture cannot be automatically adapted to individual user body types
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated image recognition system. The image sensor captures user body images, the processor analyzes body features and dimensions, and the system automatically adjusts convenience devices accordingly, substituting the mechanical manual adjustment process with an optical-digital-control system.
Solution Approach 2:
The system enables self-service by automatically detecting user body characteristics through image capture and autonomously adjusting driving posture settings without requiring manual intervention. The processor independently processes body feature extraction, dimension calculation, and device control based on captured images.
2Measurement precision
If image sensor and statistical prediction model are used to automatically extract body information, then personalized driving posture recommendation is achieved, but the device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary action by pre-storing statistical prediction models and body dimension data in the database. When a user is detected, the processor directly queries and applies these pre-prepared models to estimate body dimensions from image features, avoiding complex real-time calculations and reducing processing complexity.
Solution Approach 2:
The patent introduces statistical prediction models as intermediaries between image feature extraction and body dimension determination. Instead of directly calculating complex body dimensions from raw image data, the system uses pre-trained models that map image features to body dimensions, simplifying the processing pipeline while maintaining accuracy.
3Reliability
If the system stores and updates statistical prediction models with user feedback, then the personalization accuracy improves over time, but the data management complexity increases
Solution Approach 1:
The system implements feedback by monitoring whether users manually adjust the automatically set driving posture. When users make manual adjustments, the system captures this feedback data, stores it in the database, and uses it to refine and update the statistical prediction models, creating a continuous improvement loop that enhances recommendation accuracy over time.
Data Source
AI summary
A smart driving posture control system includes: an image sensor installed in a vehicle, a memory for storing instructions, and a processor connected to the image sensor and the memory. The processor recognizes a user boarding the vehicle through the image sensor to extract human body feature information of the user, extracts recommended posture information based on the extracted human body feature information, and controls a convenience device based on the recommended posture information to adjust a driving posture of the user.