Autonomous Driving Takeover Based on Driver Warning Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous driving vehicles face challenges in accurately switching to an autonomous mode during emergencies due to driver inaction, leading to potential traffic accidents and reduced safety.
Innovation Solution
An autonomous driving apparatus monitors driving status by analyzing traveling and environmental data, outputs warning information, and switches to autonomous mode when an abnormal driver status is detected, using models to determine risk and feedback behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver manually switches the driving mode, then the driver has control over the vehicle, but the vehicle cannot switch to autonomous mode in time during emergencies
Solution Approach 1:
The autonomous driving apparatus performs preliminary monitoring of driver status and vehicle conditions before emergencies occur. When risk conditions are detected, the system has already prepared to switch modes, eliminating the time delay associated with manual driver response. The system proactively identifies potential emergencies and pre-positiones the autonomous driving system to take control.
Solution Approach 2:
The system continuously monitors driver feedback behavior in response to warning information and uses this feedback to determine whether to switch to autonomous mode. The feedback loop includes detecting driver actions (or lack thereof) after risk warnings, and automatically transitioning to autonomous driving when the driver fails to respond appropriately, ensuring timely mode switching.
2Measurement precision
If the autonomous driving apparatus continuously monitors driver status, then the switching accuracy improves, but the system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: a risk determination module that assesses vehicle risks based on traveling and environment data, a warning information module that communicates risks to the driver, and a feedback behavior detection module that monitors driver responses. This segmentation allows each module to focus on specific detection tasks, improving overall accuracy while managing system complexity through modular design.
Solution Approach 2:
The system introduces warning information as an intermediary element between the autonomous driving apparatus and the driver. This intermediary serves multiple functions: it alerts the driver to risks, elicits feedback behavior for monitoring, and provides a basis for determining whether manual intervention is occurring. This intermediary structure enables accurate driver status detection without requiring direct, complex monitoring of all driver physiological and behavioral parameters.
Data Source
AI summary
An autonomous driving method and apparatus, and a vehicle are provided. The autonomous driving method includes: An autonomous driving apparatus obtains traveling data and environment data of a vehicle when the vehicle is in a manual driving mode, and when the vehicle has a risk, outputs warning information based on the traveling data and the environment data of the vehicle, to prompt a driver that the vehicle has the risk; the autonomous driving apparatus obtains information about feedback behavior that is of the driver and that is based on the warning information, and determines a driving status of the driver; and when the driving status is an abnormal state, the autonomous driving apparatus switches a driving mode of the vehicle from the manual driving mode to an autonomous driving mode, to enable the vehicle to enter an autonomous driving state.