Lidar Object Detection System for Automated Vehicles
US-2018074203-A1 · Mar 15, 2018 · US
US10031231B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10031231-B2 |
| Application number | US-201615262467-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 12, 2016 |
| Priority date | Sep 12, 2016 |
| Publication date | Jul 24, 2018 |
| Grant date | Jul 24, 2018 |
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 object-detection system suitable for an automated vehicle includes a lidar and a controller. The lidar is used to detect a point-cloud that is organized into a plurality of scan-lines. The controller is in communication with the lidar. The controller is configured to classify each detected point in the point-cloud as a ground-point or a non-ground-point, define runs of non-ground-points, where each run characterized by one or multiple instances of adjacent non-ground-points in a scan-line separated from a subsequent run of one or more non-ground-points by at least one instance of a ground-point, define a cluster of non-ground-points associated with the object. The cluster is characterized by a first run from a first scan-line being associated with a second run from a second scan-line when a first point from the first run is displaced less than a distance-threshold from a second point from the second run.
Opening claim text (preview).
We claim: 1. An object-detection system suitable for an automated vehicle, said system comprising: a lidar used to detect a point-cloud indicative of an object proximate to a host-vehicle, said point-cloud organized into a plurality of scan-lines; a controller in communication with the lidar, said controller configured to classify each detected point in the point-cloud as a ground-point or a non-ground-point, define runs of non-ground-points, each run characterized by one or multiple instances of adjacent non-ground-points in a scan-line separated from a subsequent run of one or more non-ground-points by at least one instance of a ground-point, define a cluster of non-ground-points associated with the object, said cluster characterized by a first run from a first scan-line being associated with a second run from a second scan-line when a first point from the first run is displaced less than a distance-threshold from a second point from the second run.
Vehicle exterior; Vicinity of vehicle · CPC title
involving 3D image data · CPC title
of land vehicles · CPC title
Range image; Depth image; 3D point clouds · CPC title
using analysis of echo signal for target characterisation; Target signature; Target cross-section · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.