Remote Driver State Detection for Autonomous Vehicles
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Solution Overview
Problem
Current vehicle-to-vehicle communication systems are unable to detect and share information about driver states such as drowsiness, stress, or distraction effectively, leading to potential safety risks that existing sensing technologies like radar and LIDAR cannot address, as these states may not produce visually detectable clues.
Innovation Solution
Incorporating a driver state recognition module that uses sensors like cameras and pressure sensors to determine driver states, which are then encoded and shared via a dedicated short-range communication (DSRC) system, allowing nearby vehicles to take preventative actions based on received driver state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar and LIDAR sensing technologies are used to detect driver states, then collision detection capability is improved, but detection precision for driver cognitive states deteriorates because these technologies cannot detect non-visual states like drowsiness, stress, or distraction
Solution Approach 1:
The patent introduces driver state sensors (cameras, microphones, pressure sensors) as intermediary devices inside the vehicle to detect driver cognitive states, which then communicate this information to other vehicles via V2V communication systems. This mediator approach allows indirect detection of driver states that external sensors cannot directly observe, resolving the limitation of radar/LIDAR while maintaining system feasibility.
2Reliability
If driver state information is shared via V2V communication, then safety risk awareness is improved, but information loss deteriorates because the driver state may not be accurately represented in transmitted data
Solution Approach 1:
The patent transforms complex driver cognitive states (drowsiness, stress, distraction) into standardized transmittable parameters with specific thresholds and categories. By converting continuous physiological and behavioral data into discrete, structured parameters suitable for V2V communication protocols, the system maintains information fidelity while enabling efficient inter-vehicle data exchange.
3Measurement precision
If multiple sensors are deployed to detect driver states, then detection capability is improved, but device complexity increases due to additional hardware requirements
Solution Approach 1:
The patent combines multiple types of sensors (cameras, microphones, pressure sensors) into an integrated driver state detection system that processes various physiological and behavioral signals simultaneously. By merging these sensing modalities into a unified detection framework, the system achieves comprehensive driver state monitoring while reducing overall system complexity compared to separate independent systems.
Data Source
AI summary
Methods and apparatus are described for considering a remote driver state. Embodiments decode, from a message received from a remote vehicle, a remote driver state of a driver of the remote vehicle and a level of the remote driver state. A change in a driving characteristic of a vehicle is determined based on the remote driver state and the level of the remote driver state. The change in the driving characteristic is then made.