IP Library › Granted Patent US 11,016,175
Granted Patent B2
US 11,016,175 · App. 16/156,783 · Granted May 25, 2021

Transportation infrastructure communication and control

Inventors: Siddharth Agarwal (Dearborn, MI); Ankit Girish Vora (Dearborn, MI); Juan Enrique Castorena Martinez (Southfield, MI); Faizan Shaik (Ann Arbor, MI)
Assignee: Ford Global Technologies, LLC
G01S7/4806G01S17/42G01S17/86G01S17/931
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Quick Facts
Patent No.
US 11,016,175
App. No.
16/156,783
Granted
May 25, 2021
Kind
B2
Abstract

A reference pose graph can be generated from first point cloud data collected at each of a plurality of mobile nodes. A location of a stationary node can be specified based on the reference pose graph and second point cloud data collected by the stationary node.

Claims (30)

1. A method, comprising:

generate a reference pose graph from first point cloud data collected at, and transmitted to the computer from, each of a plurality of mobile nodes, the reference pose graph including respective locations of the mobile nodes when the first point cloud data was collected, the locations being aligned according to a common coordinate system; and

then, after the locations of the mobile nodes are aligned to the reference pose graph, align the reference pose graph to second point cloud data collected by a stationary node to specify a location of the stationary node based on the reference pose graph and second point cloud data collected by the stationary node.

2. The method of claim 1 , wherein the first and second point cloud data is LIDAR sensor data.

3. The method of claim 1 , wherein the stationary node includes a LIDAR sensor and at least one of a two-dimensional imaging sensor, a radar, or an ultrasonic sensor.

4. The method of claim 1 , wherein the reference pose graph is generated by applying an iterative scan matching process to the first point cloud data.

5. The method of claim 1 , further comprising detecting an object at the stationary node, and specifying an object location according to the location of the stationary node.

6. The method of claim 5 , further comprising transmitting the object location to a vehicle.

7. The method of claim 6 , further comprising, in the vehicle, actuating a component according to the object location.

8. The method of claim 1 , wherein the location of the stationary node is specified in three dimensions.

9. A system, comprising a computer comprising a processor and a memory, the memory storing instructions executable by the processor to:

generate a reference pose graph from first point cloud data collected at, and transmitted to the computer from, each of a plurality of mobile nodes, the reference pose graph including respective locations of the mobile nodes when the first point cloud data was collected, the locations being aligned according to a common coordinate system; and

then, after the locations of the mobile nodes are aligned to the reference pose graph, aligning the reference pose graph to second point cloud data collected by a stationary node to specify a location of the stationary node based on the reference pose graph and second point cloud data collected by the stationary node.

10. The system of claim 9 , wherein the first and second point cloud data is LIDAR sensor data.

11. The system of claim 9 , wherein the stationary node includes a LIDAR sensor and at least one of a two-dimensional imaging sensor, a radar, or an ultrasonic sensor.

12. The system of claim 9 , wherein the reference pose graph is generated by applying an iterative scan matching process to the first point cloud data.

13. The system of claim 9 , the instructions further including instructions to detect an object at the stationary node, and specify an object location according to the location of the stationary node.

14. The system of claim 13 , the instructions further including instructions to transmit the object location to a vehicle.

15. The system of claim 14 , wherein the vehicle actuates a component according to the object location.

16. The system of claim 9 , wherein the location of the stationary node is specified in three dimensions.

17. A system, comprising:

a mobile LIDAR sensor;

a stationary infrastructure node;

a LIDAR sensor mounted to the infrastructure node; and

a computer comprising a processor and a memory, the memory storing instructions executable by the processor to:

generate a reference pose graph from first point cloud data collected at, and transmitted to the computer from, each of a plurality of mobile nodes, the reference pose graph including respective locations of the mobile nodes when the first point cloud data was collected, the locations being aligned according to a common coordinate system; and

then, after the locations of the mobile nodes are aligned to the reference pose graph, align the reference pose graph to second point cloud data collected by a stationary node to specify a location of the stationary node based on the reference pose graph and second point cloud data collected by the stationary node.

18. The system of claim 17 , further comprising at least one of a two-dimensional imaging sensor, a radar, or an ultrasonic sensor mounted to the stationary node.

19. The system of claim 17 , wherein the reference pose graph is generated by applying an iterative scan matching process to the first point cloud data.

20. The system of claim 17 , the instructions further including instructions to detect an object at the stationary node, and specify an object location according to the location of the stationary node.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 10, 2018
From: AGARWAL, SIDDHARTH; VORA, ANKIT GIRISH; CASTORENA MARTINEZ, JUAN ENRIQUE; SHAIK, FAIZAN
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 047126/0308 →
Continuity (1)
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