Vehicle Collision Warning System Using Image Cropping
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Solution Overview
Problem
Existing collision detection systems for vehicles are computationally demanding and often unable to provide timely warnings due to limited onboard computing resources, making them impractical for use in personal automobiles.
Innovation Solution
A collision warning system that uses a client device with motion and image sensors to selectively crop image frames based on vanishing points and horizons, reducing computation time by focusing on detected objects and processing cropped images, thereby enabling real-time collision detection and warning notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full image frames are processed using existing object tracking algorithms, then object detection accuracy is improved, but computation time and resource consumption increase excessively
Solution Approach 1:
The patent divides the full image frame into multiple regions of interest (ROIs) based on vanishing point detection and horizon line identification. By segmenting the image into relevant areas (e.g., road surface, sky, objects near vanishing point) and processing only these segments rather than the entire frame, the system maintains object detection accuracy while significantly reducing computation time and resource consumption.
2Measurement precision
If full image frames are processed using existing object tracking algorithms, then object detection accuracy is improved, but device complexity and resource requirements increase
Solution Approach 1:
The patent extracts and processes only the essential elements of the image (regions containing objects of interest, vanishing point area, horizon line) while discarding or minimally processing the rest of the frame. This extraction approach allows the system to achieve accurate object detection without requiring the full computational resources needed for processing complete high-resolution images.
3Reliability
If existing collision detection methods are used, then comprehensive collision detection is achieved, but warning time is insufficient for practical collision avoidance
Solution Approach 1:
The patent performs preliminary processing by detecting the vanishing point and horizon line before conducting object detection and tracking. By pre-identifying regions of interest and establishing reference frames based on these geometric features, the system prepares the image data in advance, enabling faster subsequent object detection and collision assessment, thus providing sufficient warning time while maintaining detection reliability.
Data Source
AI summary
A collision warning system determines probabilities of potential collisions between a vehicle and other objects such as other vehicles. In an embodiment, sensors of a client device capture sensor data including motion data and image frames from a forward-facing view of the vehicle. An orientation of the client device relative to the vehicle may be determined using the motion data. The collision warning system determines cropped portions of the image frames and detects an object captured the image frames by processing the cropped portions. The collision warning system determines a probability of a potential collision between the vehicle and the object by tracking motion of the object. Responsive to determining that the probability is greater than a threshold value, the collision warning system may provide a notification of the potential collision to a driver of the vehicle.