Vehicle Rearview Warning System Blind Spot Detection
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Solution Overview
Problem
Drivers often lack timely awareness of vehicles in their blind spots, leading to increased risk of traffic accidents due to hesitation in making driving decisions while navigating complex road conditions.
Innovation Solution
A vehicle rearview warning system comprising a rearview-mirror monitor, front and rear image-capturing devices, and an edge computing device that uses AI to recognize vehicles and display warning images, enabling drivers to take timely actions to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drivers focus attention on road conditions in front of the vehicle, then forward driving decisions are improved, but awareness of blind spot vehicles deteriorates
Solution Approach 1:
The patent introduces image-capturing devices and an edge computing device as intermediaries to detect and process blind spot information. These devices capture images of vehicles in blind spots and the processing device generates warning images, allowing drivers to maintain forward focus while still receiving blind spot awareness through the rearview mirror display.
2Loss of information
If drivers watch reflected scene on rearview mirror, then blind spot awareness is improved, but reaction time for forward decisions deteriorates
Solution Approach 1:
The system performs preliminary detection and processing of blind spot information through image-capturing devices and edge computing before the driver needs to make decisions. Warning images are generated in advance and displayed on the rearview mirror, providing proactive awareness without requiring drivers to actively monitor the mirror during critical decision moments.
3Loss of time
If drivers make timely driving decisions, then traffic safety is improved, but decision accuracy under complex road conditions deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the edge computing device continuously processes images from multiple capturing devices, generates warning images based on detected vehicles, and displays them on the rearview mirror. This real-time feedback loop provides drivers with continuously updated information about blind spot conditions, enabling more accurate decisions under complex road conditions.
Data Source
AI summary
A vehicle rearview warning system has a rearview-mirror monitor, a front image-capturing device outputting a front driving image, a rear image-capturing device outputting a rear driving image, and an edge computing device signally connected to the rearview-mirror monitor, the front image-capturing device, and the rear image-capturing device. The edge computing device receives the front driving image and the rear driving image respectively, recognizes a vehicle object from the front driving image or the rear driving image, and determines whether to activate the rearview-mirror monitor to display a warning image according to the vehicle object.