Driver Dazzle Detection with ADAS and Autonomous Intervention
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Solution Overview
Problem
Existing autonomous and semi-autonomous vehicles lack effective methods to detect and mitigate the effects of driver dazzle, which can impair a driver's ability to safely operate the vehicle.
Innovation Solution
Implementing a system that utilizes sensors to gather data on driver characteristics and light source characteristics, evaluating the severity of a potential dazzle event, and triggering remedial actions such as switching to autonomous drive modes or engaging ADAS features to counteract the effects of dazzle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual drive mode is used, then driver control and flexibility are maintained, but driver safety is compromised when dazzle events occur
Solution Approach 1:
The system performs preliminary detection of dazzle conditions by monitoring light sensor data and driver eye state before the dazzle fully impairs the driver. Remedial actions such as activating autonomous drive mode or adjusting mirrors are prepared and executed in advance to prevent safety compromise
Solution Approach 2:
The system introduces an intermediary autonomous drive mode that acts as a mediator between manual drive and full autonomous operation. When dazzle is detected, the vehicle transitions to this intermediate state where the system assists the driver by adjusting mirrors, blocking glare, or temporarily taking control, rather than immediately switching to full autonomous mode
2Reliability
If autonomous drive mode is activated to mitigate dazzle, then driver safety is improved, but driver control is reduced
Solution Approach 1:
The system dynamically adjusts the level of autonomous intervention based on the severity and duration of the dazzle event. For minor or temporary dazzle, the system provides partial assistance such as mirror adjustment or glare blocking while maintaining driver control. For severe or persistent dazzle, the system increases autonomous intervention by switching to autonomous drive mode, creating a dynamic balance between safety and driver control
3Measurement precision
If multiple sensors and remedial actions are implemented, then dazzle detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the dazzle detection and mitigation function into distinct modular components: light sensing modules, driver eye state detection modules, mirror adjustment modules, and autonomous drive control modules. Each module operates independently with well-defined interfaces, allowing the complex system to be developed, tested, and maintained as separate manageable units while achieving high detection accuracy through their coordinated operation
Data Source
AI summary
Systems and methods for driver dazzle detection for a subject vehicle, may include: using a plurality of sensors to gather data regarding driver characteristics and light source characteristics in an environment of the subject vehicle; evaluating sensor data from the plurality of sensors received to determine at least one of a driver characteristic and a light source characteristic; determining a level of dazzling of a driver of the vehicle based on the determined at least one of a driver characteristic and a light source characteristic; and engaging remedial action based on the determined level of dazzle of the driver of the vehicle, wherein the remedial action comprises at least one of switching a control of the vehicle from a manual drive mode to an autonomous drive mode and engaging an ADAS feature if it is detected that the determine level of dazzling is above a dazzling threshold.