Autonomous Driver Feedback System for Safety and Control
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Solution Overview
Problem
Existing autonomous vehicle systems face hazards due to driver overrides in semi-autonomous systems, and many drivers are hesitant to relinquish control to pure-autonomous systems, leading to potential safety risks and discomfort.
Innovation Solution
A system that uses a processor and memory to identify data inputs from vehicle routes, receive autonomous actions, determine steering maneuvers, and generate selectable outputs for drivers, allowing them to select between actions while maintaining autonomous control, thereby providing a sense of autonomy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a semi-autonomous system allows driver input and override, then the driver maintains control and confidence, but driver interruption creates hazardous conditions and safety risks
Solution Approach 1:
The system introduces an intermediary layer between the driver and the autonomous control system. The driver feedback interface acts as a mediator that allows driver input to be processed and considered without granting direct override capability. This intermediary mechanism enables the system to acknowledge and respond to driver preferences while maintaining the safety integrity of the autonomous control architecture.
2Reliability
If a pure-autonomous system eliminates driver input, then safety risks from driver interruption are eliminated, but drivers feel hesitant and uncomfortable relinquishing control
Solution Approach 1:
The system implements a feedback mechanism where driver inputs are received, processed, and reflected in the system's behavior. The driver feedback interface provides continuous feedback to the driver about the system's status and actions, creating a sense of engagement and control without requiring actual override capability. This feedback loop enhances driver comfort and acceptance while maintaining pure-autonomous safety.
3Adaptability or versatility
If the system provides multiple autonomous action options to the driver, then driver confidence and acceptance improve, but system complexity and response time increase
Solution Approach 1:
The system provides a limited set of pre-defined action options rather than allowing complete custom control. By offering a curated selection of autonomous actions that align with driver preferences, the system achieves adaptability without overwhelming complexity. The partial action approach provides enough choice to enhance driver confidence while maintaining manageable system architecture and response times.
Data Source
AI summary
A system and method for providing autonomous control of a vehicle. The system and method comprising a processor and a memory including instructions executable by the processor. The processor identifying at least one data input of a route of autonomous travel by a vehicle and receive a first autonomous action for controlling autonomous travel of the vehicle. The processor determine a second autonomous action for controlling autonomous travel of the vehicle based on the at least one data input. The processor generating a selectable output that includes the first autonomous action and the second autonomous action. The processor receives an input indicating a selected one of the first autonomous action and the second autonomous action and selectively control autonomous travel of the vehicle based on the selected one of the first autonomous action and the second autonomous action.