IP Library Granted Patent US 12,195,042
Granted Patent B2
US 12,195,042 · App. 17/846,652 · Granted Jan 14, 2025

Validating protolanes with actor behavior flowcharts

Inventors: George Peter Kenneth Carr (Allison Park, PA); Shawn Cook (Dearborn, MI); Brett Browning (Pittsburgh, PA); Andrew Hartnett (West Hartford, CT); Constantin A. Savtchenko (Sewickley, PA); Neal Seegmiller (Pittsburgh, PA); Christopher Cunningham (Pittsburgh, PA); Thomas Mark Petroff (Gibsonia, PA); Michael Pacilio (Pittsburgh, PA)
Assignee: Ford Global Technologies, LLC
B60W60/0011B60W2552/10B60W2552/53
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Quick Facts
Patent No.
US 12,195,042
App. No.
17/846,652
Granted
Jan 14, 2025
Kind
B2
Abstract

Disclosed herein are system, method, and computer program product aspects for validating protolanes. For example, the method includes determining a protolane level flowchart from one or more flowcharts corresponding to one or more gates of a protolane selected from a set of protolanes of a geonet, wherein the one or more flowcharts correspond to conditions that can be encountered by an actor approaching the corresponding one or more gates, and wherein the geonet comprises a plurality of lane segments associated with the set of protolanes. A graph through the protolane level flowchart is generated that corresponds to actions of an actor. Reasoning of the actor is validated by testing the actions of the actor against the graph through the protolane level flowchart.

Claims (37)

1. A method, comprising:

determining, by the one or more computing devices, a protolane level flowchart from one or more flowcharts corresponding to one or more gates of a protolane selected from a set of protolanes of a geonet, wherein the one or more flowcharts correspond to conditions that can be encountered by an actor approaching the corresponding one or more gates, and wherein the geonet comprises a plurality of lane segments associated with the set of protolanes;

generating, by the one or more computing devices, a graph through the protolane level flowchart corresponding to actions of an actor; and

validating, by the one or more computing devices, reasoning of the actor by testing the actions of the actor against the graph through the protolane level flowchart.

2. The method of claim 1 , wherein the actor is an autonomous vehicle, the method further comprising:

defining, by the one or more computing devices, a sequence of the one or more gates of the protolane based on a trajectory of the autonomous vehicle through the protolane.

3. The method of claim 1 , wherein the one or more flowcharts corresponding to the one or more gates of the protolane are assigned to entry/exit gate pairs of the one or more gates.

4. The method of claim 1 , further comprising:

constructing a test scenario for a subgraph of the graph through the protolane level flowchart.

5. The method of claim 1 , wherein the one or more gates are each in a respective open or closed state.

6. The method of claim 5 , wherein the closed state regulates entry by the actor into a contested space through a corresponding gate of the one or more gates.

7. The method of claim 1 , wherein testing the actions of the actor against the graph includes validating whether the actor proceeded through a sequence of the one or more gates that are part of the graph consistent with the graph.

8. The method of claim 1 , wherein the protolane selected from the set of protolanes comprises a sequence of consecutive protolanes.

9. The method of claim 1 , wherein the protolane selected from the set of protolanes consists of a single protolane.

10. A system, comprising:

a memory; and

at least one processor coupled to the memory and configured to perform operations comprising:

determining a protolane level flowchart from one or more flowcharts corresponding to one or more gates of a protolane selected from a set of protolanes of a geonet, wherein the one or more flowcharts correspond to conditions that can be encountered by an actor approaching the corresponding one or more gates, and wherein the geonet comprises a plurality of lane segments associated with the set of protolanes,

generating a graph through the protolane level flowchart corresponding to actions of an actor, and

validating reasoning of the actor by testing the actions of the actor against the graph through the protolane level flowchart.

11. The system of claim 10 , wherein the actor is an autonomous vehicle, the operations further comprising:

defining a sequence of the one or more gates of the protolane based on a trajectory of the autonomous vehicle through the protolane.

12. The system of claim 10 , wherein the one or more flowcharts corresponding to the one or more gates of the protolane are assigned to entry/exit gate pairs of the one or more gates.

13. The system of claim 10 , the operations further comprising:

constructing a test scenario for a subgraph of the graph through the protolane level flowchart.

14. The system of claim 10 , wherein the one or more gates are each in a respective open or closed state.

15. The system of claim 14 , wherein the closed state regulates entry by the actor into a contested space through a corresponding gate of the one or more gates.

16. The system of claim 10 , wherein testing the actions of the actor against the graph includes validating whether the actor proceeded through a sequence of the one or more gates that are part of the graph consistent with the graph.

17. A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

determining a protolane level flowchart from one or more flowcharts corresponding to one or more gates of a protolane selected from a set of protolanes of a geonet, wherein the one or more flowcharts correspond to conditions that can be encountered by an actor approaching the corresponding one or more gates, and wherein the geonet comprises a plurality of lane segments associated with the set of protolanes;

generating a graph through the protolane level flowchart corresponding to actions of an actor; and

validating reasoning of the actor by testing the actions of the actor against the graph through the protolane level flowchart.

18. The non-transitory computer-readable medium of claim 17 , wherein the actor is an autonomous vehicle, the operations further comprising:

defining a sequence of the one or more gates of the protolane based on a trajectory of the autonomous vehicle through the protolane.

19. The non-transitory computer-readable medium of claim 17 , the operations further comprising:

constructing a test scenario for a subgraph of the graph through the protolane level flowchart.

20. The non-transitory computer-readable medium of claim 17 , wherein testing the actions of the actor against the graph includes validating whether the actor proceeded through a sequence of the one or more gates that are part of the graph consistent with the graph.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 15, 2023
From: ARGO AI, LLC
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 064917/0018 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2023
From: CARR, GEORGE PETER KENNETH; COOK, SHAWN; BROWNING, BRETT; HARTNETT, ANDREW; SAVTCHENKO, CONSTANTIN A.; SEEGMILLER, NEAL; CUNNINGHAM, CHRISTOPHER; PETROFF, THOMAS MARK; PACILIO, MICHAEL
To: ARGO AI, LLC,
Reel/Frame 064189/0069 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2023
From: ARGO AI, LLC
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 062937/0441 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2023
From: ARGO AI, LLC
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 063025/0346 →
Continuity (1)
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