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US 2025/0029392 A1Published application
Real-time traffic assistance and detection system and method
AssigneeBlack Sesame Technologies Inc.
InventorsZhenhui Jiang, Zuoguan Wang, Qun Gu
Life of this patent
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Abstract
The present invention discloses a system and a method for real-time image based traffic detection for self-driving and advanced driver-assistance systems (ADAS). The system and method include conversion of a resized image by an image reducer with resolution smaller than the image generated. The resized image is used for further analysis and uses less computing resources to provide real-time traffic assistance to the vehicle.
Claims13
A real-time vehicle traffic assistance system, comprising:
- an image capturing module for capturing an image with one or more objects therein;
- a processing module comprising:
- a cropping module for cropping the one or more objects in the image to generate one or more cropped images;
- a filtering module for filtering the one or more cropped images based on the orientation of the one or more cropped images to generate one or more filtered images;
- an image classifier for classifying the one or more filtered images based on a neural network approach;
- and
- an image reducer for reducing resolution of the image to generate a resized image;
- and
- a traffic analysis module, wherein the traffic analysis module locates object locations of the one or more objects on the resized image, maps the object locations of the one or more objects to a map, and then scales back the map to the image to provide real-time traffic assistance to a vehicle.
6 more elements
A method for providing real-time vehicle traffic assistance, comprising:
- capturing an image with one or more objects;
- resizing the image by reducing the resolution of the image to generate a resized image;
- locating one or more resized objects within the resized image;
- mapping the one or more resized objects of the resized image to the one or more objects of the image;
- cropping the one or more objects of the image to generate one or more cropped images;
- filtering the one or more cropped images based on the orientation of the one or more cropped images to generate one or more filtered images;
- and
- classifying the one or more filtered images based on a neural network approach to provide real-time traffic assistance to a vehicle.
5 more elements
Dependencies are inferred from the claim text.