Autonomous Vehicle Driving Profiles for Human-Like Ride Comfort
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Solution Overview
Problem
Autonomous vehicles lack the ability to mimic human driving styles, leading to discomfort for passengers due to unnatural driving behaviors, which outweighs the benefits of autonomous driving such as improved safety and productive commute time.
Innovation Solution
A method and apparatus that download and execute a driving profile associated with a specific driver, allowing the vehicle to steer within predefined ranges of sinuosity and weaving, thereby mimicking human driving habits through the use of a processor and memory configured with computer program code, enabling personalized driving experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use standardized robotic driving control, then safety and productivity are improved, but passenger comfort and acceptance deteriorate due to unnatural driving behavior
Solution Approach 1:
The system pre-acquires driving profile data from map databases and driver information databases before executing autonomous driving. This preliminary preparation enables the vehicle to switch between standardized safe driving and personalized comfortable driving based on passenger preferences, resolving the contradiction between safety and comfort
Solution Approach 2:
The autonomous driving control is made dynamic by allowing adjustment between different driving profiles (standardized robotic style vs. personalized human-like style). The system can adapt its driving behavior in real-time based on passenger selection, maintaining both safety through standardized options and comfort through personalized options
2Ease of operation
If autonomous vehicles mimic human driving idiosyncrasies, then passenger comfort is improved, but device complexity increases due to personalized profile management
Solution Approach 1:
The system creates simplified copies of human driving profiles stored in databases, capturing essential driving characteristics (following distance, braking patterns, acceleration styles) without replicating the full complexity of human decision-making. This allows personalized driving with reduced system complexity
Solution Approach 2:
The driving profile system is designed to be universal, supporting multiple drivers and multiple profile types (conservative, moderate, aggressive) within a single framework. This multi-functionality reduces overall system complexity by using a unified approach for personalized driving
3Reliability
If autonomous vehicles use conservative driving style, then safety is improved, but productivity decreases due to reduced speed and efficiency
Solution Approach 1:
The system dynamically adjusts driving style based on passenger selection and route characteristics. Passengers can choose between conservative profiles that prioritize safety and aggressive profiles that prioritize speed and efficiency, allowing the vehicle to adapt to different productivity requirements while maintaining safety through informed choice
Data Source
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AI summary
Methods for personalized driving of autonomously driven vehicles include: (a) downloading at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and (b) executing one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver. Apparatuses for personalized driving of autonomously driven vehicles are described.