IP Library Patent Application 17307551
Patent Application
App. No. 17/307,551

Mapping System and Method

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Quick Facts
Patent No.
US None
App. No.
17/307,551
Abstract

A method, computer program product, and computing system for receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle; processing the metric data; and generating a temporal understanding with respect to the autonomous vehicle based, at least in part, upon the metric data.

Claims (48)

1 . A computer-implement method, executed on a computing device, comprising:

receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle;

processing the metric data; and

generating a temporal understanding with respect to the autonomous vehicle based, at least in part, upon the metric data.

2 . The computer-implement method of claim 1 wherein the temporal understanding concerns the future states of agents and objects.

3 . The computer-implement method of claim 2 wherein the agents and objects include dynamic agents and dynamic objects.

4 . The computer-implement method of claim 1 wherein processing the metric data includes:

processing the metric data to generate a semantic understanding of the autonomous vehicle.

5 . The computer-implement method of claim 4 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

generating a spatial understanding with respect to the autonomous vehicle.

6 . The computer-implement method of claim 4 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.

7 . The computer-implement method of claim 6 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.

8 . The computer-implement method of claim 7 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.

9 . A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle;

processing the metric data; and

generating a temporal understanding with respect to the autonomous vehicle based, at least in part, upon the metric data.

10 . The computer program product of claim 9 wherein the temporal understanding concerns the future states of agents and objects.

11 . The computer program product of claim 10 wherein the agents and objects include dynamic agents and dynamic objects.

12 . The computer program product of claim 9 wherein processing the metric data includes:

processing the metric data to generate a semantic understanding of the autonomous vehicle.

13 . The computer program product of claim 12 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

generating a spatial understanding with respect to the autonomous vehicle.

14 . The computer program product of claim 12 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.

15 . The computer program product of claim 14 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.

16 . The computer program product of claim 15 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.

17 . A computing system including a processor and memory configured to perform operations comprising:

receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle;

processing the metric data; and

generating a temporal understanding with respect to the autonomous vehicle based, at least in part, upon the metric data.

18 . The computing system of claim 17 wherein the temporal understanding concerns the future states of agents and objects.

19 . The computing system of claim 18 wherein the agents and objects include dynamic agents and dynamic objects.

20 . The computing system of claim 17 wherein processing the metric data includes:

processing the metric data to generate a semantic understanding of the autonomous vehicle.

21 . The computing system of claim 20 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

generating a spatial understanding with respect to the autonomous vehicle.

22 . The computing system of claim 20 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:

creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.

23 . The computing system of claim 22 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.

24 . The computing system of claim 23 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:

processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 24, 2022
From: OPTIMUS RIDE INC.
To: MAGNA ELECTRONICS INC.
Reel/Frame 059088/0385 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 18, 2022
From: KARAMAN, SERTAC; HUANG, ALBERT
To: OPTIMUS RIDE, INC.
Reel/Frame 059048/0970 →