Vehicle assist method and vehicle assist device
US-2024020989-A1 · Jan 18, 2024 · US
US9704062B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9704062-B2 |
| Application number | US-201414562217-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 5, 2014 |
| Priority date | Aug 19, 2014 |
| Publication date | Jul 11, 2017 |
| Grant date | Jul 11, 2017 |
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An apparatus for warning an obstacle of a vehicle includes an image obtaining device configured to take an image around the vehicle through image sensors. An image segmentation device is configured to segment a current reference image obtained in blocks of an object. A motion estimator is configured to estimate two dimensional motion information of the object. A variation estimator is configured to estimate distance information between the object and the vehicle. A relative motion estimator is configured to estimate three dimensional relative motion information of the object by combining the two dimensional motion information and the distance information. A collision time estimator is configured to estimate a collision time between the object and the vehicle by using the three dimensional relative motion information. An image processor is configured to adjust a brightness of a corresponding segmented block. A display is configured to display the image.
Opening claim text (preview).
What is claimed is: 1. An apparatus for warning an obstacle of a vehicle comprising: an image obtaining device configured to take an image around the vehicle through at least two image sensors; an image segmentation device configured to segment a current reference image obtained through one image sensor among the at least two image sensors in blocks of an object; a motion estimator configured to estimate two dimensional motion information of the object in each of segmented blocks segmented by the image segmentation device; a variation estimator configured to estimate distance information between the object in a segmented block and the vehicle; a relative motion estimator configured to estimate three dimensional relative motion information of the object in the segmented block by combining the two dimensional motion information and the distance information; a collision time estimator configured to estimate a collision time between the object in the segmented block and the vehicle by using the three dimensional relative motion information; an image processor configured to adjust a brightness of a corresponding segmented block in a pre-defined ratio according to the collision time; and a display configured to display an image processed by the image processor, wherein the image processor adds a shadow effect to an outline of the corresponding segmented block if the collision time is less than a threshold time. 2. The apparatus according to claim 1 , wherein the at least two image sensors are mounted on the vehicle in a horizontal arrangement. 3. The apparatus according to claim 1 , wherein the object is an obstacle. 4. The apparatus according to claim 1 , wherein the motion estimator estimates the two dimensional motion information by comparing the current reference image and a previous reference image. 5. The apparatus according to claim 1 , wherein the variation estimator estimates the distance information by estimating a variation using a correlation between the current reference image and a comparison image inputted through another image sensor. 6. The apparatus according to claim 1 , wherein the collision time estimator estimates the collision time between the object in the segmented block and the vehicle by using a time difference between the current reference image and the previous reference image and the three dimensional relative motion information. 7. The apparatus according to claim 1 , wherein the apparatus further comprises a warning output configured to output a warning signal if the collision time is less than the threshold time. 8. A method for warning an obstacle of a vehicle comprising steps of: taking an image around the vehicle through at least two image sensors; segmenting a current reference image obtained through one image sensor among the at least two image sensors in blocks of an object; estimating two dimensional motion information of the object in each of segmented blocks and distance information; estimating three dimensional relative motion information of the object in a segmented block by combining the two dimensional motion information and the distance information; estimating a collision time between the object in the segmented block and the vehicle by using the three dimensional relative motion information; adding a shadow effect to an outline of a corresponding segmented block if the collision time is less than a threshold time; and displaying the image by adjusting a brightness of the corresponding segmented block in a pre-defined ratio according to the collision time. 9. The method according to claim 8 , wherein the two dimensional motion information is estimated by comparing the current reference image and a previous reference image. 10. The method according to claim 8 , wherein the distance information is estimated by estimating a variation using a correlation between the current reference image and a comparison image inputted through another image sensor. 11. The method according to claim 8 , wherein the step of estimating the collision time estimates the collision time between the object in the segmented block and the vehicle by using a time difference between the current reference image and a previous reference image and the three dimensional relative motion information. 12. The method according to claim 8 , further comprising: a step of outputting a warning signal if the collision time is less than the threshold time.
Three-dimensional [3D] objects · CPC title
Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads · CPC title
by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis · CPC title
using multiple cameras · CPC title
using block-matching · CPC title
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