Autonomous Vehicle Control Transitioning to Driver Input
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Solution Overview
Problem
Autonomous vehicles face challenges in seamlessly integrating human operator preferences and characteristics into their control systems, particularly in determining appropriate positioning of vehicle components during autonomous driving operations, which can lead to inconsistencies and potential safety issues.
Innovation Solution
The system employs a vehicle computer with an autonomous driving module that communicates with remote servers and data collectors to detect driver characteristics and preferences, determining and implementing appropriate control actions for vehicle components such as the steering wheel, brake pedal, and accelerator, ensuring smooth transition between manual and autonomous modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous vehicle system takes full control of vehicle components using electrical commands, then automation level is improved, but the ability to accommodate operator preferences and characteristics deteriorates
Solution Approach 1:
The system dynamically adjusts the level of autonomous control based on detected operator preferences and characteristics. The autonomous driving system can modify control parameters in real-time to accommodate operator preferences while maintaining full automation capability, allowing the system to transition between fully autonomous and operator-preference-aligned control modes.
Solution Approach 2:
The system changes control parameters based on operator detection. By detecting operator preferences and characteristics, the system modifies electrical commands and control signals to align with operator expectations, thereby accommodating human preferences while maintaining high automation levels.
2Adaptability or versatility
If the system detects and responds to operator characteristics, then adaptability is improved, but system complexity deteriorates
Solution Approach 1:
The system implements feedback loops where operator characteristics and preferences are continuously detected and used to adjust control parameters. This feedback mechanism enables the system to adapt to operator characteristics without requiring overly complex architecture, as the feedback is processed through existing autonomous control channels.
Solution Approach 2:
The system uses an intermediary processing layer that translates operator characteristics into appropriate control adjustments. This intermediary layer simplifies the overall system complexity by providing a standardized interface between operator detection and control execution, rather than requiring direct complex interactions between all system components.
3Adaptability or versatility
If vehicle components are repositioned during autonomous operation, then operator preference accommodation is improved, but control consistency deteriorates
Solution Approach 1:
The system performs preliminary detection of operator preferences and characteristics before executing control actions. By detecting operator characteristics in advance and pre-calculating appropriate control adjustments, the system maintains consistency in its response patterns while accommodating operator preferences, reducing sudden or inconsistent component repositioning.
Data Source
AI summary
Data is obtained concerning at least one attribute of a vehicle operator. The attribute is used to determine an instruction for positioning a vehicle component during autonomous operation of the vehicle. Autonomous operation of the vehicle, including positioning the vehicle component according to the instruction, is performed.