IP Library Granted Patent US 11,567,201
Granted Patent B2
US 11,567,201 · App. 16/380,088 · Granted Jan 31, 2023

Laser scanner with real-time, online ego-motion estimation

Inventors: Ji Zhang (Pittsburgh, PA); Sanjiv Singh (Pittsburgh, PA); Kevin Joseph Dowling (Gibsonia, PA)
Assignee: Kaarta, Inc.
G01S17/42G01S7/4808G01S7/51G01S17/66
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 11,567,201
App. No.
16/380,088
Filed
Apr 10, 2019
Granted
Jan 31, 2023
Kind
B2
Art Unit
2857
USPC
702/150
Abstract

A method comprises accessing a data set comprising a LIDAR acquired point cloud comprising a plurality of points each of which are attributed with at least a geospatial coordinate, sub-sampling at least a portion of the plurality of points to derive a representative sample of the plurality of points and displaying the representative sample of the plurality of points.

Claims (14)

1. A method comprising:

accessing a data set comprising a LIDAR acquired point cloud comprising a plurality of points each of which are attributed with at least a geospatial coordinate;

sub-sampling at least a portion of the plurality of points to derive a representative sample of the plurality of points; and

displaying the representative sample of the plurality of points;

wherein sub-sampling at least a portion of the plurality of points comprises dividing a volume represented by the point cloud into sub-volumes and assigning a value to each of the sub-volumes, and

wherein the assigned value of each sub-volume is indicative of a number of points inside the sub-volume.

2. The method of claim 1 wherein the LIDAR acquired point cloud is acquired by a portable simultaneous location and mapping (SLAM) system.

3. The method of claim 2 , wherein displaying the representative sample occurs upon an interface display of the portable SLAM system.

4. The method of claim 2 , wherein displaying the representative sample occurs in real time during an acquisition of the LIDAR acquired point cloud.

5. The method of claim 1 , wherein the sub-volumes are of equal size.

6. The method of claim 1 , wherein the assigned value of each sub-volume is indicative of whether or not any of the plurality of points are located within the sub-volume.

7. The method of claim 1 , wherein each of the plurality of points is displayed with an intensity corresponding to an intensity of a reflection of infrared (IR) light from each of the plurality of points.

8. The method of claim 1 , wherein each of the plurality of points is displayed with a color corresponding to an intensity of a reflection of infrared (IR) light from each of the plurality of points.

9. The method of claim 1 , wherein each of the plurality of points is displayed with a color corresponding to a parameter of the acquired data selected from the group consisting of an intensity parameter, a density parameter, a time parameter and a geospatial location parameter.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 16, 2023
From: KAARTA, INC.
To: CARNEGIE MELLON UNIVERSITY
Reel/Frame 064603/0891 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2019
From: ZHANG, JI; SINGH, SANJIV; DOWLING, KEVIN JOSEPH
To: KAARTA, INC.
Reel/Frame 050688/0317 →
Continuity (7)
Continuation PCTUS2017055938 · Oct 10, 2017
Continuation In Part PCTUS2017021120 · Mar 7, 2017
Continuation In Part 16125054 · Sep 7, 2018
Continuation PCTUS2017021120 · Mar 7, 2017
Provisional Application 62406910 · Oct 11, 2016
Provisional Application 62307061 · Mar 11, 2016
Related Publication 20190235083A1 · Aug 1, 2019
Cited By (2)
US 12,208,744 US 12,573,065