IP Library › Granted Patent US 10,031,231
Granted Patent B2
US 10,031,231 · App. 15/262,467 · Granted Jul 24, 2018

Lidar object detection system for automated vehicles

Inventors: Dimitris Zermas (Minneapolis, MN); Izzat H. Izzat (Oak Park, CA); Anuradha Mangalgiri (Agoura Hills, CA)
Assignee: Delphi Technologies, Inc.
G01S17/936G05D1/0088G06F17/12G06N99/005
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,031,231
App. No.
15/262,467
Filed
Sep 12, 2016
Granted
Jul 24, 2018
Kind
B2
Art Unit
3663
USPC
701/27
Abstract

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.

Claims (6)

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.

Assignments (5)
MERGER Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES (2) S.À R.L.
To: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
Reel/Frame 066566/0173 →
ENTITY CONVERSION Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES LIMITED
To: APTIV TECHNOLOGIES (2) S.À R.L.
Reel/Frame 066746/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2024
From: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
To: APTIV TECHNOLOGIES AG
Reel/Frame 066551/0219 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 25, 2018
From: DELPHI TECHNOLOGIES INC.
To: APTIV TECHNOLOGIES LIMITED
Reel/Frame 047143/0874 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2016
From: ZERMAS, DIMITRIS; IZZAT, IZZAT H.; MANGALGIRI, ANURADHA
To: DELPHI TECHNOLOGIES, INC.
Reel/Frame 040656/0350 →
Continuity (1)
Related Publication 20180074203A1 · Mar 15, 2018
Cited By (4)
US 12,223,593 US 12,399,278 US 12,399,279 US 12,663,535