Autonomous Vehicle Control System Emulating User Driving Patterns
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Solution Overview
Problem
Current computing systems for autonomous vehicles lack the ability to modify their operation based on user preferences, leading to inefficiencies and safety concerns, as they do not provide options for users to customize or adjust the navigation and route guidance services effectively.
Innovation Solution
A computing system that monitors current vehicle operation measures, calculates an operation measure modification factor based on a user vehicle's profile, and generates modified vehicle operation instructions to emulate the user's driving behavior, allowing for safe and efficient autonomous vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle operation systems use standardized control algorithms, then system reliability is improved, but adaptability to user preferences deteriorates
Solution Approach 1:
The system dynamically adjusts autonomous operation parameters by transitioning from static standardized algorithms to dynamic user-adapted algorithms. The computing system receives user feedback and modifies operation parameters in real-time, allowing the vehicle to adapt its driving behavior to individual user preferences while maintaining safety standards.
Solution Approach 2:
The system changes operational parameters by modifying algorithmic control parameters based on user feedback. The computing system adjusts specific operation parameters such as acceleration profiles, braking patterns, and steering behaviors to match user preferences, transforming the standardized parameters into customized ones without compromising overall system reliability.
2Ease of operation
If autonomous vehicle systems implement comprehensive user customization options, then user experience is improved, but device complexity increases
Solution Approach 1:
The system implements self-service by automatically learning and adapting to user preferences without requiring complex manual configuration interfaces. The computing system monitors user behavior patterns and autonomously adjusts operation parameters, eliminating the need for users to navigate complex settings while still providing personalized driving experiences.
Solution Approach 2:
The system uses feedback mechanisms to simplify complexity by continuously monitoring user responses and automatically adjusting parameters. Rather than presenting users with numerous configuration options, the system gathers feedback on actual driving preferences and makes automatic adjustments, reducing the perceived complexity while improving user experience.
3Reliability
If autonomous operation systems follow strict safety protocols, then safety compliance is improved, but operational efficiency deteriorates
Solution Approach 1:
The system dynamically balances safety compliance with operational efficiency by adjusting the stringency of safety protocols based on contextual factors and user preferences. The computing system identifies when strict safety protocols can be relaxed without compromising essential safety, allowing for more efficient operation in appropriate situations while maintaining required safety standards.
Data Source
AI summary
A computing system includes: a control unit, coupled to the communication unit, configured to: monitor a current vehicle operation measure for an essential vehicle control function of a user vehicle in an autonomous vehicle operation state; calculate an operation measure modification factor based on a vehicle operation profile of the user vehicle; calculate a modified model input from the current vehicle operation measure based on the operation measure modification factor; generate a vehicle operation instruction, with the modified model input, for the essential vehicle control function according to a vehicle operation model to operate the essential vehicle control function of the user vehicle in the autonomous vehicle operation state; and a communication unit configured to provide the vehicle operation instruction to an autonomous vehicle operation system.