Vehicle Display Control via Passenger Line of Sight Detection
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Solution Overview
Problem
Conventional vehicle control systems require passengers to periodically press a drowsiness prevention button, leading to inconvenience and low accuracy in determining drowsiness, which may result in a lack of confidence in the drowsiness prevention system.
Innovation Solution
A method that acquires the direction of a passenger's line of sight and state information, such as drowsiness, using sensors like cameras and pressure sensors, to display driving information on suitable displays within the vehicle, ensuring information is presented when the passenger is awake and hidden when they become drowsy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional drowsiness prevention button system is used, then the system structure is simple, but the accuracy of drowsiness determination is low and user convenience deteriorates due to periodic button pressing requirements
Solution Approach 1:
The system automatically detects driver drowsiness state through sensors (camera, pressure sensor, microphone) and adjusts display information accordingly, eliminating the need for manual button pressing. The driver simply needs to be seated in the vehicle for the system to monitor their state and provide appropriate driving information or silence alerts based on detected drowsiness.
Solution Approach 2:
The manual mechanical button-pressing system is replaced with an automated sensor-based detection system. Cameras capture facial expressions and eye closure, pressure sensors detect head position on the seat, and microphones analyze speech patterns, substituting mechanical interaction with automated electronic monitoring.
2Loss of information
If driving information is continuously displayed, then information availability is high, but it causes disturbance when the passenger is in a drowsy state
Solution Approach 1:
The display system dynamically adjusts its behavior based on real-time detection of driver state. When the driver is detected as awake, driving information is displayed normally. When drowsiness is detected through sensor data (facial expression, eye closure, head position), the system automatically stops displaying driving information, creating a dynamic adaptation to driver needs.
Solution Approach 2:
The system continuously monitors driver state through sensors and uses this feedback to control display output. The closed-loop system adjusts information display based on real-time detection of driver alertness, ensuring information is provided when needed and suppressed when the driver is drowsy.
Data Source
AI summary
A vehicle control method and an intelligent computing device for controlling a vehicle are disclosed. An intelligent computing device for controlling a vehicle according to an embodiment of the present disclosure acquires a direction of a line of sight of a passenger of a vehicle through at least one sensor included in the vehicle and displays driving information of the vehicle through at least one of a plurality of displays included in the vehicle on the basis of the direction of the line of sight of the passenger, to thereby provide convenience to the passenger. One or more of the autonomous vehicle, the intelligent computing device and the server of the present disclosure can be associated with artificial intelligence (AI) modules, unmanned aerial vehicle (UAV) robots, augmented reality (AR) devices, virtual reality (VR) devices, 5G service related devices, etc.