Vehicle Control System Threshold-Based Handover
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Solution Overview
Problem
Current autonomous driving systems are unable to handle all traffic scenarios due to limitations in sensor capabilities, functional safety, and algorithmic limitations, leading to the need for driver intervention, which can be inconvenient and potentially dangerous.
Innovation Solution
A method for controlling vehicle systems that determines an expected vehicle path and trajectory, calculates required control parameter values, compares them to predefined thresholds, and sends signals to the Human Machine Interface (HMI) for driver feedback and intervention, allowing temporary adjustments to thresholds to facilitate smoother handover of control between autonomous and manual driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous drive features are used to perform automated driving actions, then road safety is improved and cognitive burden is reduced, but the system cannot handle all traffic scenarios due to sensor capabilities, functional safety, and algorithmic limitations
Solution Approach 1:
The system dynamically adjusts control parameters based on the detected traffic scenario by comparing required control parameter values against a predefined threshold scheme. When scenarios exceed autonomous capabilities, the system dynamically transitions from autonomous to manual control mode, allowing adaptability across diverse traffic conditions while maintaining safety through structured handover protocols.
2Adaptability or versatility
If the autonomous drive feature asks the driver to take over control when unable to perform autonomous driving, then the driver can handle challenging scenarios, but the handover process can be inconvenient and potentially dangerous
Solution Approach 1:
The system performs preliminary assessment by determining the expected path and calculating required control parameter values before executing the handover. By comparing these values against predefined thresholds in advance, the system identifies when a handover is needed before the situation becomes critical, allowing smoother and safer transitions to manual control.
Solution Approach 2:
The system implements a feedback mechanism where the driver receives notifications about upcoming handovers based on the autonomous system's assessment of its capabilities. This feedback loop allows the driver to prepare mentally and physically for the transition, reducing the inconvenience and potential danger associated with sudden control takeovers.
3Loss of information
If the autonomous drive feature provides notification to the driver for handover, then the driver is informed of system limitations, but the driver may be surprised by a failing system if the notification was not received
Solution Approach 1:
The system performs preliminary determination of the expected path and calculation of required control parameter values to identify when autonomous capabilities are insufficient. This advance assessment enables the system to issue notifications before the driver would be surprised by system failure, ensuring continuous awareness of system limitations throughout the driving process.
Data Source
AI summary
A method for controlling vehicle system of a vehicle is disclosed. The method comprises determining an expected path of the vehicle, determining a vehicle trajectory for the determined expected path, and determining at least one required control parameter value of a driver assistance system based on the determined vehicle trajectory. Further, the method comprises comparing the at least one required control parameter value to a predefined threshold scheme associated with the driver assistance system, and sending a signal to a Human Machine Interface, HMI, of the vehicle based on the comparison. Then, the method comprises receiving a feedback signal originating from a user of the vehicle, and controlling the driver assistance system based on the comparison and the received feedback signal.