Autonomous Vehicle Driving Profiles for Personalized Control
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Solution Overview
Problem
Users of autonomous vehicles desire greater control over operational aspects such as driving style and route, but current systems lack the ability to efficiently customize these settings.
Innovation Solution
A driving profile system that allows users to input preferences, which are processed by an automated driving component to generate operational parameters, adjusting vehicle operation based on user preferences and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate with minimal user involvement, then automation level is improved, but user control capability deteriorates
Solution Approach 1:
The system dynamically adjusts the level of user control based on stored preferences and real-time conditions. Users can transition between fully autonomous operation and manual control modes, with the system adapting operational parameters like speed, route, and driving style according to user preferences stored in the database, thereby maintaining both high automation and user control capability
Solution Approach 2:
The system implements feedback loops where user responses to operational decisions are captured, stored, and used to refine future autonomous behavior. The processor monitors user interactions and adjusts operational parameters based on this feedback, allowing the vehicle to learn and adapt to user preferences while maintaining autonomous operation
2Ease of operation
If multiple user preferences are stored and processed, then user control capability is improved, but device complexity increases
Solution Approach 1:
The system uses a universal database structure and processing framework that handles multiple types of user preferences (speed, route, driving style, etc.) through a single integrated architecture. This multi-functional approach allows the same hardware and software components to manage diverse preference types without requiring separate systems for each preference category
Solution Approach 2:
User preferences are stored as digital copies in a database that can be rapidly accessed and applied across different driving scenarios. The system creates and manages preference profiles that can be copied and applied to various operational contexts, reducing the need for complex real-time decision-making logic while maintaining user control capability
Data Source
AI summary
One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.