Object classification using multiple labels for autonomous systems and applications
US-2024395027-A1 · Nov 28, 2024 · US
US2025046101A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025046101-A1 |
| Application number | US-202418739384-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 11, 2024 |
| Priority date | Aug 1, 2023 |
| Publication date | Feb 6, 2025 |
| Grant date | — |
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A device for recognizing an object, includes an image sensor configured to acquire an image of a travel direction of a vehicle, a controller configured to clip a target region from an image acquired by the image sensor and configured to set the target region as a target image, the target region including a first region below a center of the image and a second region above the center of the image, the second region being adjacent to the first region and having an area smaller than that of the first region, and a model configured to receive the target image and position of the target region and configured to output a recognition result for a lane line of a road and at least one of a traffic light and a signboard.
Opening claim text (preview).
What is claimed is: 1 . A device for recognizing an object, comprising: an image sensor configured to acquire an image of a travel direction of a vehicle; a controller configured to clip a target region from an image acquired by the image sensor and configured to set the target region as a target image, the target region including a first region below a center of the image and a second region above the center of the image, the second region being adjacent to the first region and having an area smaller than that of the first region; and a model configured to receive the target image and position of the target region and configured to output a recognition result for a lane line of a road and at least one of a traffic light and a signboard. 2 . The device according to claim 1 , wherein the controller includes a table storing an identifier of the image sensor, the position of the first region, and the position of the second region in association with each other, and determines the position of the first region and the position of the second region based on the identifier of the image sensor and the table. 3 . The device according to claim 1 , further comprising a yaw rate sensor configured to detect a yaw rate of the vehicle, wherein the controller determines the position of the first region and the position of the second region based on the yaw rate of the vehicle. 4 . The device according to claim 1 , further comprising a sensor configured to detect a direction of a direction indicator light indicating a travel direction of the vehicle, wherein the controller determines the position of the first region and the position of the second region based on the direction indicated by the direction indicator light. 5 . The device according to claim 1 , wherein the controller determines the position of the first region and the position of the second region based on position of the lane line recognized by the model.
Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion · CPC title
Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title
of vehicle lights or traffic lights · CPC title
of traffic signs · CPC title
using feature-based methods · CPC title
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