Autonomous Driving Warning Control for Driver Distrust Elimination
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Solution Overview
Problem
During autonomous driving, if the system makes false attention awakenings, drivers may distrust the autonomous driving system, leading to a lack of trust in system warnings, which can result in the driver not trusting the system's alerts.
Innovation Solution
An autonomous driving system that includes a vehicle position recognition unit, external environment recognition unit, travel state recognition unit, normal driving situation determination unit, driver situation recognition unit, distrust determination unit, and warning control unit to output alerts based on the vehicle's position, external environment, and driver reaction, ensuring the system is in a normal driving situation and the driver is not in a distrust state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the autonomous driving system frequently issues attention warnings to the driver, then the driver's awareness of external environment is improved, but the driver's trust in the system deteriorates due to false alarms
Solution Approach 1:
The system dynamically adjusts the warning issuance criteria based on the detected distrust state. When distrust is detected through analysis of driving operations and external environment, the system modifies its warning behavior by suppressing non-critical warnings while maintaining essential safety alerts, thereby restoring driver trust without compromising safety awareness
Solution Approach 2:
The system implements a feedback mechanism where the driver's trust state is continuously monitored through analysis of driving operations, external environment, and system status. This feedback loop allows the system to adapt its warning strategy in real-time, adjusting the frequency and type of warnings based on the current trust level to maintain optimal driver-system collaboration
2Measurement precision
If the system suppresses driving support control to warn the driver of overconfidence, then the driver's attention is improved, but the system's reliability deteriorates due to false warnings
Solution Approach 1:
The system dynamically modifies its control suppression strategy based on the detected overconfidence state. When overconfidence is identified through analysis of driving operations and external environment, the system adjusts the threshold for control suppression, applying it selectively only when genuine overconfidence is detected rather than in normal operating conditions, thereby maintaining both driver attention and system reliability
3Reliability
If the autonomous driving system outputs alerts based on normal driving situation determination, then the driver trust is improved, but the system complexity increases due to multiple determination units
Solution Approach 1:
The system integrates multiple determination functions into a unified distrust determination unit that综合分析 driving operations, external environment, and system status. By merging these determination functions, the system reduces overall complexity while maintaining the capability to accurately detect distrust states and issue appropriate alerts, balancing trust-building with system simplicity
Data Source
AI summary
An autonomous driving system includes a normal driving situation determination unit configured to determine whether or not autonomous driving is in a normal driving situation, a driver situation recognition unit configured to recognize a driver situation, a distrust determination unit configured to determine whether or not the driver is in a system distrust state, based on a recognition result obtained by the driver situation recognition unit, and a warning control unit configured to output an alert in accordance with the external environment of the vehicle when the normal driving situation determination unit determines that autonomous driving is in the normal driving situation and the distrust determination unit determines that the driver is in the system distrust state.