Image processing method for detecting objects using relative motion
US-9547795-B2 · Jan 17, 2017 · US
US11417115B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11417115-B2 |
| Application number | US-202017069078-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 13, 2020 |
| Priority date | Oct 14, 2019 |
| Publication date | Aug 16, 2022 |
| Grant date | Aug 16, 2022 |
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An obstacle recognition device of a vehicle provided with a camera capturing an image around the vehicle, includes an acquiring unit sequentially acquiring the image captured by the camera; a feature point extracting unit extracting a plurality of feature points of an object included in the image; a calculation unit calculating each motion distance of the plurality of feature points between the image previously acquired and the image currently acquired by the acquiring unit; a first determination unit determining whether each motion distance of the feature points is larger than or equal to a first threshold; a second determination unit determining whether each motion distance of the feature points is larger than or equal to a second threshold; and an obstacle recognition unit recognizing an obstacle.
Opening claim text (preview).
What is claimed is: 1. An obstacle recognition device of a vehicle provided with a camera that captures images around the vehicle, detecting an obstacle based on the images captured by the camera, the obstacle recognition device comprising: an acquiring unit that sequentially acquires the images repeatedly captured by the camera; a feature point extracting unit that extracts a plurality of feature points of an object included in the images sequentially acquired by the acquiring unit; a calculation unit that calculates each motion distance of the plurality of feature points on the images between an image previously acquired by the acquiring unit and an image currently acquired by the acquiring unit; a first determination unit that determines whether each motion distance of the plurality of feature points is larger than or equal to a first threshold; a second determination unit that determines whether each motion distance of the plurality of feature points is larger than or equal to a second threshold; and an obstacle recognition unit that recognizes an obstacle, wherein the second threshold is set for each feature point such that the farther the location of the plurality of feature points from the vehicle along a longitudinal direction in a respective image, the smaller the second threshold is; and the obstacle recognition unit is configured to determine feature points to represent an obstacle that satisfy a determination result in which the first determination unit determines that the motion distance is larger than or equal to the first threshold and the second determination unit determines that the motion distance is larger than or equal to the second threshold. 2. The obstacle recognition device according to claim 1 further comprising a movement determination unit that determines whether the vehicle is moving or not, wherein the acquiring unit sequentially acquires the images repeatedly captured by the camera in response to a determination in which the movement determination unit determines that the vehicle is moving. 3. The obstacle recognition device according to claim 1 further comprising a moving object recognizing unit that recognizes a moving object around the vehicle in accordance with the plurality of feature points, wherein the obstacle recognition unit determines the feature points satisfying the determination result and being not recognized as the moving object by the moving object recognizing unit, to be the obstacle. 4. The obstacle recognition device according to claim 1 , wherein the camera is configured to capture an image around the vehicle through a wide-angle lens; and the second threshold is set to be larger as locations of the plurality of feature points approaches towards one side of the image from a center portion of the image in a width direction or approaches towards the other side of the image in the width direction.
Video; Image sequence · 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
using gradient-based methods · CPC title
Obstacle · CPC title
using feature-based methods, e.g. the tracking of corners or segments · CPC title
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