Vehicle Feature Emulation for Driver Adaptation Across Vehicle Types
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Solution Overview
Problem
The transition from one vehicle to another with different features or proportions creates a steep learning curve for drivers, leading to discomfort and lack of confidence due to unfamiliarity with vehicle dimensions, performance, and autonomy levels.
Innovation Solution
An apparatus and method that emulates vehicle features familiar to the user by adjusting sensor alerts, performance characteristics, and autonomy levels in an unfamiliar vehicle based on a user's familiarity index, using machine learning and augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a driver transitions from one vehicle to another with different features or proportions, then the driver can access a wider variety of vehicles with different sizes and performance characteristics, but the driver experiences a steep learning curve, discomfort, and lack of confidence due to unfamiliarity
Solution Approach 1:
The system dynamically adjusts vehicle parameters such as sensor alert distances, performance characteristics (acceleration rate, deceleration rate, steering ratio, suspension firmness), and autonomy level settings to match the driver's familiar vehicle profile, thereby maintaining driver comfort across different vehicle types
Solution Approach 2:
The system creates a virtual copy of the driver's familiar vehicle characteristics and applies these characteristics to the unfamiliar vehicle through software emulation, allowing the driver to experience familiar handling and response characteristics even in a different physical vehicle
2Ease of operation
If vehicle features are made highly customizable to accommodate different driver preferences, then driver comfort and familiarity are improved, but system complexity increases
Solution Approach 1:
The system automatically detects the driver's familiar vehicle characteristics and configures the emulation parameters without requiring manual input from the driver, eliminating complex user interfaces while maintaining high customization
Solution Approach 2:
The system uses sensor data and vehicle performance metrics to continuously monitor and adjust emulation parameters, creating a closed-loop system that adapts to driver behavior and vehicle conditions automatically
Data Source
AI summary
A method, apparatus, and computer program product are therefore provided for emulating vehicle features of a first vehicle in a second vehicle having different features. Methods may include: receiving an indication of a user operating an unfamiliar vehicle; determining vehicle features familiar to the user; and providing emulation of one or more features of the vehicle features familiar to the user in the unfamiliar vehicle. According to some embodiments, the vehicle features familiar to the user are determined based on one or more vehicles familiar to the user. According to certain embodiments, vehicle features familiar to the user include one or more of vehicle size, vehicle performance, or vehicle autonomy level.