External environment recognizing device for vehicle and vehicle behavior control device
US-2017140229-A1 · May 18, 2017 · US
US12217437B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12217437-B2 |
| Application number | US-202017792578-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 17, 2020 |
| Priority date | Jan 20, 2020 |
| Publication date | Feb 4, 2025 |
| Grant date | Feb 4, 2025 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
An obstacle detecting device includes: an image converting portion for converting, into a circular cylindrical image, an image captured by a camera installed on a vehicle; a detection subject candidate image detecting portion for detecting a detection subject candidate image through pattern matching; an optical flow calculating portion for calculating an optical flow; an outlier removing portion for removing an optical flow that is not a detection subject; a TTC calculating portion for calculating a TTC (TTCX, TTCY); a tracking portion for generating a region of the detection subject on the circular cylindrical image by tracking the detection subject candidate; and a collision evaluating portion for evaluating whether or not there is the risk of a collision, wherein the optical flow calculating portion calculates the optical flow based on the detection subject candidate image and the region.
Opening claim text (preview).
The invention claimed is: 1. An obstacle detecting device, comprising: an image converting portion for converting, into a circular cylindrical image, an image captured by a camera installed on a vehicle; a detection subject candidate image detecting portion for detecting, through pattern matching, a detection subject candidate image based on the circular cylindrical image; an optical flow calculating portion for calculating an optical flow based on the detection subject candidate image; an outlier removing portion for removing an optical flow that is inferred, based on the optical flow, not to be a detection subject; a TTC calculating portion for calculating a time-to-collision (TTC) based on an optical flow that remains after removal by the outlier removing portion; a tracking portion for calculating a region of the detection subject on the circular cylindrical image by tracking the detection subject candidate image in relation to a subsequent circular cylindrical image based on the optical flow; and a collision evaluating portion for determining whether or not there is the risk of collision between the vehicle and the detection subject, based on the TTC, wherein: the optical flow calculating portion calculates the optical flow based on the detection subject candidate image and the region. 2. The obstacle detecting device set forth in claim 1 , wherein: the TTC calculating portion calculates a component in the direction of travel of the vehicle and a component in the perpendicular direction that is perpendicular to the direction of travel of the vehicle. 3. The obstacle detecting device set forth in claim 1 , wherein: the outlier removing portion removes the optical flow that, based on the TTC, is inferred to not be a detection subject. 4. The obstacle detecting device set forth in claim 3 , wherein: the outlier removing portion removes the optical flow that, based on the optical flow, is inferred to not be a detection subject. 5. The obstacle detecting device set forth in claim 1 , wherein: the tracking portion calculates a region of the detection subject on the circular cylindrical image based on a scale and a translational vector calculated based on the optical flow. 6. The obstacle detecting device set forth in claim 1 , wherein: the collision evaluating portion evaluates whether or not there is a risk of a collision between the vehicle and the detection subject based on the perpendicular direction component of the TTC to the bumper that is near to the detection subject and the perpendicular direction component of the TTC to the bumper that is far from the detection subject.
by photographing vehicles, e.g. when violating traffic rules · CPC title
Panospheric to cylindrical image transformations · CPC title
for active traffic, e.g. moving vehicles, pedestrians, bikes · CPC title
Obstacle · CPC title
the prediction being responsive to traffic or environmental parameters · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.