Steering Interface Adaptation for Unfamiliar Traffic Side Navigation
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Solution Overview
Problem
Individuals operating vehicles in unfamiliar left-hand or right-hand traffic regimes face challenges when attempting to make turns, particularly due to low familiarity with the specific side of the road, which can lead to incorrect turns and potential collisions.
Innovation Solution
A system comprising a processor and memory that assesses the driver's familiarity with the traffic side and adjusts the steering operator interface, such as through changes in steering torque feedback or ratio, to guide the vehicle correctly during turns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the steering operator interface operates with normal feedback and ratio, then the vehicle responds predictably for experienced drivers, but unfamiliar drivers may oversteer or understeer causing incorrect turns
Solution Approach 1:
The steering operator interface dynamically adjusts its characteristics based on detected driver familiarity. The system modifies steering ratio and feedback properties in real-time according to the driver's performance, allowing the interface to adapt between normal operation for experienced drivers and guided operation for unfamiliar drivers
Solution Approach 2:
The system changes physical parameters of the steering interface including steering ratio and feedback torque based on driver familiarity assessment. When unfamiliar drivers are detected, the system adjusts these parameters to provide corrective guidance, thereby improving turn accuracy without permanently altering the interface
2Reliability
If the steering interface is modified to guide unfamiliar drivers, then turn accuracy improves, but the normal operation for familiar drivers may be disrupted
Solution Approach 1:
The steering operator interface transitions between different operational modes dynamically based on detected driver familiarity. The system maintains multiple operation modes (normal and guided) and switches between them according to real-time assessment, ensuring both familiar and unfamiliar drivers receive appropriate control characteristics
Solution Approach 2:
The system continuously monitors driver steering inputs and performance to assess familiarity level. This feedback loop allows the system to determine when to apply guided operation versus normal operation, adapting the interface characteristics based on actual driver behavior rather than predefined categories
Data Source
AI summary
A system for guiding an individual to cause a vehicle to make a turn correctly can include a processor and a memory. The memory can store a communications module and an actuation module. The communications module can cause the processor to obtain information about a specific side of a road on which the vehicle is to be operated. The communications module can cause the processor to obtain information about a degree of familiarity of the individual in operating the vehicle on the specific side. The actuation module can cause the processor to cause, in response to the degree of familiarity being less than a threshold, a possible change to a normal operation of a steering operator interface of the vehicle, in response to a receipt of an input from the individual, to guide the individual to cause the vehicle to make the turn correctly.