Autonomous Vehicle Mode Selection via Operator Identity
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Solution Overview
Problem
Current autonomous vehicle systems lack the ability to tailor their operation to individual driver preferences and situational factors such as weather and time of day, failing to provide customizable driving modes that enhance comfort and safety.
Innovation Solution
A vehicle system that includes a computing device capable of receiving data from sensors and biometric identifiers, evaluating operator input and stored parameters to select and adjust autonomous driving modes, such as sport, comfort, or sightseeing modes, using a network to communicate with a server for real-time adjustments based on operator profiles and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous vehicles operate according to fixed instructions without customization, then system complexity is reduced and ease of manufacture is improved, but operator comfort and adaptability to different driving styles deteriorate
Solution Approach 1:
The system dynamically adjusts autonomous driving parameters based on real-time operator input, biometric data, and environmental conditions. The vehicle transitions between different driving modes (e.g., sport, comfort, economical) by dynamically modifying acceleration rates, braking forces, lane-changing frequency, and speed adjustments, thereby adapting to operator preferences without requiring complete system redesign
Solution Approach 2:
The patent implements parameter changes by modifying specific driving parameters such as acceleration rate, deceleration rate, lane change frequency, and speed adjustments based on operator-selected profiles. The system stores multiple parameter sets corresponding to different driving styles and selectively applies them, allowing customization while maintaining a standardized underlying architecture
2Adaptability or versatility
If autonomous vehicles use standardized operation instructions, then manufacturing cost and device complexity are reduced, but adaptability to different operators and situations deteriorates
Solution Approach 1:
The system segments the autonomous driving function into distinct, selectable modes (sport, comfort, economical, aggressive, conservative) with specific parameter profiles. Each mode represents a segmented configuration of driving parameters that can be independently selected and adjusted, allowing the vehicle to adapt to different operator preferences through modular parameter selection rather than complete system customization
Solution Approach 2:
The patent implements universality by creating a multi-functional parameter selection system that serves multiple driving styles and operator preferences through a single unified architecture. The same vehicle hardware and core control systems handle all driving modes, with software-configurable parameters providing the adaptability needed for different operators without requiring separate systems for each function
3Ease of operation
If autonomous vehicles ignore operator identity and preferences, then system complexity and data processing requirements are reduced, but personalized driving experience and operator comfort deteriorate
Solution Approach 1:
The system performs preliminary action by collecting and storing operator preference data, biometric information, and driving style profiles before actual autonomous driving begins. The vehicle pre-configures parameter sets based on operator identification (through biometrics or user input) and environmental conditions, so that when autonomous mode is activated, the personalized parameters are already ready for immediate application without real-time processing delays
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors operator responses, biometric data, and driving conditions, then adjusts autonomous driving parameters accordingly. Operator feedback (explicit selections or implicit biometric responses) is fed back to the control system, which modifies parameter selections in real-time to maintain optimal personalized driving experience while learning from ongoing interactions
Data Source
AI summary
A vehicle operator is identified. Based at least in part on the operator's identity, one or more parameters are determined specifying a mode for autonomously operating the vehicle. The vehicle is autonomously operated at least in part according to the one or more parameters.