Automated Drive Headlight Abnormality Detection via Camera Feedback
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Solution Overview
Problem
The automated drive system struggles to detect abnormalities in the vehicle's lighting system, particularly when the headlights fail, leading to reduced visibility and potential delays in switching to manual driving.
Innovation Solution
An automated drive system that includes a camera and controllers to monitor and compare the lighting states of the headlights, using a direct connecting line to bypass the secondary controller and identify abnormalities, allowing for early detection and cause identification of lighting issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the automated drive system relies on the second controller to control headlight operation, then the lighting system can be controlled automatically, but the system cannot detect abnormalities in the lighting operation
Solution Approach 1:
The first controller captures images of the vehicle front using a camera and analyzes the actual lighting state of the headlights. This creates a feedback loop where the system monitors the actual output of the lighting system and compares it with the commanded state from the second controller, enabling detection of abnormalities such as failed bulbs or incorrect lighting operation
Solution Approach 2:
The first controller acts as an intermediary monitoring system that independently verifies the lighting state. Instead of relying solely on the second controller's commands, the first controller uses image processing to objectively assess whether the headlights are actually functioning as intended, providing an independent verification layer
2Loss of information
If the driver is notified of lighting abnormalities through warning information, then the driver can be alerted, but the driver may not switch to manual driving in time due to poor visibility
Solution Approach 1:
The system performs preliminary detection of lighting abnormalities by continuously monitoring the actual lighting state through image processing. By detecting issues early through the camera-based monitoring system, the system can alert the driver before the lighting failure significantly impacts visibility, providing more time for the driver to respond and switch to manual driving if necessary
Data Source
AI summary
An automated drive system comprises a first and a second system. The first system comprises a camera and an ADS-ECU (a first controller). The camera is configured to acquire front information of a vehicle. The first controller is configured to execute automated driving control of the vehicle. The first controller is configured to judge whether or not headlights are lighted based on the front information. The second system comprises a BODY-ECU (a second controller). The second controller is configured to control lighting operation of the headlights. The second controller is configured to transmit to the first controller an ACK signal about control status of the lighting operation. The first controller is configured to judge whether or not an abnormality has occurred in the second system based on judgement result signal based on the front information and the ACK signal.