Method and system for management and operation over image in a computing system
US-10860885-B2 · Dec 8, 2020 · US
US12315107B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12315107-B2 |
| Application number | US-202117792053-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 6, 2021 |
| Priority date | Jan 17, 2020 |
| Publication date | May 27, 2025 |
| Grant date | May 27, 2025 |
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The driving assistance system includes an imaging device capable of capturing a first monochrome image in a vehicle traveling direction, a first neural network for segmentation processing, a second neural network for depth estimation processing, a determination portion determining a center of a portion cut off from the first monochrome image on the basis of the segmentation processing and the depth estimation processing, a third neural network for colorization processing of only a second cut-off monochrome image, and a display device for enlargement of the second monochrome image subjected to the colorization processing.
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The invention claimed is: 1. A driving assistance method comprising the steps of: driving a vehicle incorporating an imaging device; capturing a monochrome image of a front of the vehicle during driving by the imaging device; performing inference of regions of at least a sky, a car, and a road by performing segmentation processing on the monochrome image; performing inference of a distant region to be extracted from the monochrome image by performing depth estimation processing on the monochrome image; determining a center of the distant region to be extracted on the basis of the segmentation processing and the depth estimation processing; measuring driving speed of the vehicle and determining size of the distant region to be extracted according to the driving speed of the vehicle; extracting the distant region with a determined size from the monochrome image; performing super-resolution processing to an extracted distant region; after performing the super-resolution processing, performing colorization processing for highlighting of an object included in the extracted distant region; and performing enlargement of the extracted distant region after the colorization processing. 2. The driving assistance method according to claim 1 , wherein the segmentation processing uses first neural network processing, wherein the depth estimation processing uses second neural network processing, wherein the super-resolution processing uses third neural network processing, and wherein the colorization processing uses fourth neural network processing. 3. The driving assistance method according to claim 1 , wherein the imaging device does not include a color filter. 4. The driving assistance method according to claim 1 , wherein when the vehicle moves at a first driving speed, the size of the distant region is larger than when the vehicle moves at a second driving speed, and wherein the first driving speed is faster than the second driving speed. 5. The driving assistance method according to claim 1 , wherein the distant region includes at least a road edge portion. 6. A computer program product comprising a non-transitory computer readable medium encoded with an information processing program for use in an information processing device, the program when executed performs the operations comprising: driving a vehicle incorporating an imaging device; capturing a monochrome image of a front of the vehicle during driving by the imaging device; performing inference of regions of at least a sky, a car, and a road by performing segmentation processing on the monochrome image; performing inference of a distant region to be extracted from the monochrome image by performing depth estimation processing on the monochrome image; determining a center of the distant region to be extracted on the basis of the segmentation processing and the depth estimation processing; measuring driving speed of the vehicle and determining size of the distant region to be extracted according to the driving speed of the vehicle; extracting the distant region with a determined size from the monochrome image; performing super-resolution processing on an extracted distant region; after performing the super-resolution processing, performing colorization processing for highlighting of an object included in the extracted distant region; and performing enlargement of the extracted distant region after the colorization processing.
using neural networks · CPC title
Conversion of monochrome picture signals to colour picture signals for colour picture display · CPC title
Vehicle exterior; Vicinity of vehicle · CPC title
Color image · CPC title
using neural networks · CPC title
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