Vehicle Seat Auto-Adjustment Using Two-Stage Sensor Feedback
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Solution Overview
Problem
Existing seat adjustment systems in vehicles, such as automobiles, are inefficient and potentially unsafe as they require manual adjustment by each driver and may not be optimized for individual comfort, leading to potential distractions while driving.
Innovation Solution
A two-stage adjustment apparatus and method that includes a preliminary adjustment stage based on a suitable seat adjustment model and a secondary adjustment stage using fine-tuning control signals derived from real-time user data and threshold values, allowing for efficient and optimized seat adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual seat adjustment is required for each driver, then individual seating comfort can be achieved, but adjustment time is increased and driver distraction risk increases
Solution Approach 1:
The system performs preliminary seat adjustment automatically based on stored profile data before the driver begins driving. Sensors detect when the driver enters the vehicle and automatically retrieve pre-stored adjustment parameters (seat position, backrest angle, cushion firmness) to configure the seat without requiring manual adjustment by the driver.
Solution Approach 2:
The seat adjustment system serves itself by automatically detecting driver presence, retrieving stored preference data, and executing adjustment commands without human intervention. The multi-parameter control system self-regulates seat position, backrest angle, and cushion firmness based on integrated sensor feedback and stored profiles.
2Extent of automation
If manual seat adjustment is required, then adjustment precision can be controlled by the user, but the system cannot proactively optimize for safety and comfort
Solution Approach 1:
The system incorporates multiple sensors that continuously monitor seat position, backrest angle, and cushion firmness to provide real-time feedback. This feedback loop allows the control system to detect deviations from target positions and make precise corrective adjustments, ensuring accurate reproduction of stored profiles while maintaining adaptability to driver preferences.
Solution Approach 2:
The system stores and retrieves multiple adjustment parameters including seat longitudinal position, lateral position, backrest angle, and cushion firmness. By controlling multiple parameters simultaneously with high precision, the system achieves comprehensive seat configuration optimization that goes beyond simple position adjustment.
3Reliability
If drivers must adjust seats manually before driving, then individual comfort preferences can be accommodated, but driver distraction and safety risks increase
Solution Approach 1:
The system performs all necessary seat adjustments automatically upon detecting driver entry, completing the optimization process before the driver begins driving. This preliminary automatic configuration eliminates the need for manual adjustment during the pre-driving phase, reducing driver distraction and improving safety.
Solution Approach 2:
The seat control system serves itself by automatically detecting driver presence through sensors, retrieving stored preference profiles, and executing multi-parameter adjustment commands without requiring manual intervention from the driver, thereby eliminating distraction risks associated with manual adjustment.
Data Source
AI summary
A processing method for adjustment of at least one seat in a vehicle includes a preliminary adjustment step and a secondary adjustment. The preliminary adjustment step includes obtaining at least one preliminary sensory signal from at least one sensor positioned relative to the seat and generating at least one general control signal by determining a suitable seat adjustment model based on the preliminary sensory signal. The general control signal is communicable for use for preliminary adjustment of the seat. The secondary adjustment step includes obtaining at least one fine-tuning sensory signal from the sensor, determining delta data based on the fine-tuning sensory signal and the suitable seat adjustment model and generating at least one fine-tuning control signal based on the delta data. The fine-tuning control signal is communicable for use for secondary adjustment of the seat.