Method for detecting errors
US-2016210521-A1 · Jul 21, 2016 · US
US2016180159A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016180159-A1 |
| Application number | US-201414907744-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 30, 2014 |
| Priority date | Jul 31, 2013 |
| Publication date | Jun 23, 2016 |
| Grant date | — |
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.
The invention relates to a method for detecting a pedestrian ( 27 ) moving in an environmental region of a motor vehicle relatively to the motor vehicle based on a temporal sequence of images ( 18 ) of the environmental region, which are provided by means of a camera of the motor vehicle ( 1 ), wherein characteristic features are extracted from the images ( 18 ) and a plurality of optical flow vectors is determined to the characteristic features of at least two consecutively captured images of the sequence by means of an image processing device of the motor vehicle, which indicate a movement of the respective characteristic features over the sequence, wherein for detecting the pedestrian ( 27 ), several confidence metrics are determined based on the characteristic features and the optical flow vectors, and based on the confidence metrics, it is examined if a preset plausibility check criterion required for the detection of the pedestrian ( 27 ) is satisfied, wherein the pedestrian ( 27 ) is supposed to be detected if the plausibility check criterion with respect to the confidence metrics is satisfied.
Opening claim text (preview).
1 . A method for detecting a pedestrian moving in an environmental region of a motor vehicle relatively to the motor vehicle based on temporal sequence of images of the environmental region, which are provided by a camera of the motor vehicle, the method comprising: extracting characteristic features from the images; determining a plurality of optical flow vectors to the characteristic features of at least two consecutively captured images of the sequence by an image processing device of the motor vehicle, wherein the plurality of optical flow vectors indicate a movement of the respective characteristic features over the sequence; determining several confidence metrics for detecting the pedestrian, based on the characteristic features and the optical flow vectors, and based on the confidence metrics; and examining whether a preset plausibility check criterion required for the detection of the pedestrian is satisfied, wherein the pedestrian is detected when the plausibility check criterion with respect to the confidence metrics is satisfied. 2 . The method according to claim 1 , wherein a threshold value is preset for each confidence metric and the preset plausibility check criterion includes that all of the confidence metrics pass the respectively associated threshold value. 3 . The method according to claim 1 , wherein a plurality of properties of the characteristic features and/or of the optical flow vectors is determined and a confidence metric is respectively defined to each property, the value of which is determined depending on the respective property. 4 . The method according to claim 3 , wherein the number of the characteristic features and/or of the optical flow vectors is determined as property. 5 . The method according to claim 3 , wherein a magnitude of the optical flow vectors is determined as a property. 6 . The method according to claim 3 , wherein a direction of the optical flow vectors is determined as a property. 7 . The method according to claim 3 , wherein as a property, the number of characteristic features is determined, the flow vectors of which have the same direction. 8 . The method according to claim 3 , wherein the characteristic features are tracked over the sequence of the images, and as a property of the characteristic features, a period of time is determined, which has elapsed since the first detection of the respective feature. 9 . The method according to claim 3 , wherein a change of the direction and/or a change of the magnitude of the optical flow vectors over the sequence are determined as a property. 10 . The method according to claim 3 , wherein the number of the flow vectors is determined as a property, which have a magnitude decreasing over the sequence of the images, and/or the number of the flow vectors is determined as a property, which have a magnitude increasing over the sequence of the images. 11 . A camera system for a motor vehicle including a camera for providing a sequence of images ROSA of an environmental region of the motor vehicle and including an image processing device adapted to perform a method according to claim 1 . 12 . A motor vehicle with a camera system according to claim 11 .
Human being; Person · CPC title
Physics · mapped topic
Physics · mapped topic
Trajectory · CPC title
Obstacle · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.