Oncoming Vehicle Collision Detection With Camera-Radar Filtering
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Solution Overview
Problem
Existing vehicle collision prevention systems often issue false warnings due to misjudgments in determining safe distances between vehicles, especially in multi-vehicle scenarios, leading to driver fatigue and decreased effectiveness.
Innovation Solution
A method utilizing an anti-collision module equipped with a camera and radar, which processes images and distance information to accurately identify potential collision risks and filter out distant or unlikely collision vehicles, thereby reducing false warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system issues warnings when the actual distance between vehicles is less than the safe distance, then collision prevention capability is improved, but false warnings increase due to misjudgments in multi-vehicle scenarios
Solution Approach 1:
The system segments the monitoring area into multiple zones (first monitoring area and second monitoring area) based on distance thresholds. The first monitoring area covers a longer distance range while the second monitoring area covers a shorter distance range. This segmentation allows the system to apply different warning strategies to different spatial zones, reducing false warnings by distinguishing between distant vehicles that are not immediate threats and closer vehicles that require attention.
Solution Approach 2:
The system implements partial action by issuing warnings selectively based on the vehicle's driving state. When the vehicle is in normal driving state, warnings are issued for vehicles in the first monitoring area. When the vehicle is in lane changing state, warnings are issued for vehicles in the second monitoring area. This partial application of warning criteria reduces excessive warnings while maintaining necessary safety alerts.
2Reliability
If the system monitors all vehicles in the surrounding environment, then collision detection coverage is improved, but driver distraction increases due to constant warning signals
Solution Approach 1:
The system dynamically adjusts the monitoring and warning strategy based on the vehicle's real-time driving state. When the vehicle is in normal driving state, the system monitors vehicles in the first monitoring area (longer distance). When the vehicle is detected to be in lane changing state, the system switches to monitoring vehicles in the second monitoring area (shorter distance). This dynamic adaptation reduces unnecessary warnings that would distract the driver while maintaining comprehensive collision detection coverage.
Solution Approach 2:
The system applies different monitoring qualities to different spatial zones. The first monitoring area uses a longer distance threshold for normal driving conditions, while the second monitoring area uses a shorter distance threshold for lane changing conditions. This local differentiation ensures that warnings are issued with appropriate sensitivity for each driving context, reducing driver distraction from false or excessive warnings while maintaining comprehensive safety coverage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces false warnings by accurately determining collision risks, minimizing driver distraction, and enhancing the reliability of collision prevention alerts.
Implementation Method 1
A method utilizing an anti-collision module equipped with a camera and radar, which processes images and distance information
Data Source
AI summary
A method for preventing vehicle collision applied in an electronic device obtains a first image in the driving direction of a vehicle using the method (method vehicle), and detects a driving route of other vehicles in the first image, and takes one of the other vehicles in the first image as a target vehicle when it satisfies a first condition. The first condition comprises a vehicle being in the same lane as the method vehicle and having an opposing driving direction. The electronic device further detects whether a detectable distance between the method vehicle and the target vehicle is less than a preset distance, and generates a warning or a control command when the detectable distance is less than the preset distance.