Driver Situational Awareness Control for Selective ADAS Alerts
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) in intelligent vehicles often overwhelm drivers with excessive visual warnings, increasing their workload and potentially leading to decreased situational awareness, especially regarding dynamic objects in the driving scene.
Innovation Solution
A computer-implemented method and system that determines object-wise situational awareness by analyzing data from the driving scene, driver eye gaze, and alerts, extracting features to communicate control signals for electronic vehicle components, thereby selectively providing alerts and autonomous controls to enhance driver awareness and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a higher number of visual warnings are provided to alert the driver of external information, then the driver's awareness of external information is improved, but the driver's workload increases and the driver may become overwhelmed
Solution Approach 1:
The system applies local quality by providing different types of alerts for different objects based on the driver's situational awareness level. Critical objects that the driver is not aware of receive high-priority alerts, while objects the driver is already aware of receive no additional alerts. This selective alerting approach ensures that information is provided where needed without overwhelming the driver with unnecessary warnings across all objects.
2Ease of operation
If the amount of information provided to the driver is limited to maintain low workload, then the driver's workload is reduced, but the driver's situational awareness may be compromised
Solution Approach 1:
The system implements feedback by continuously monitoring the driver's eye gaze and attention state to determine their situational awareness level. This feedback loop allows the system to adaptively adjust the amount and type of information provided to the driver. When the driver shows low awareness of certain objects, the system provides targeted alerts for those specific objects, ensuring situational awareness is maintained without providing excessive information that would increase workload.
3Reliability
If selective alerting based on situational awareness is implemented, then the driver's workload is reduced and awareness is improved, but the system complexity increases due to eye gaze tracking and analysis requirements
Solution Approach 1:
The system applies universality by using the eye gaze tracking technology for multiple purposes: detecting driver attention state, determining situational awareness level, and identifying objects of interest. This multi-functional use of the same sensing technology reduces the need for separate systems and minimizes overall system complexity while achieving the goal of selective alerting based on driver awareness.
Data Source
AI summary
A system and method for determining object-wise situational awareness that includes receiving data associated with a driving scene of a vehicle, an eye gaze of a driver of the vehicle, and alerts that are provided to the driver of the vehicle. The system and method also includes analyzing the data and extracting features associated with dynamic objects located within the driving scene, the eye gaze of the driver of the vehicle, and the alerts provided to the driver of the vehicle. The system and method additionally includes determining a level of situational awareness of the driver with respect to the each of the dynamic objects based on the features. The system and method further includes communicating control signals to electronically control at least one component of the vehicle based on the situational awareness of the driver.