Detecting untraversable environment and preventing damage by a vehicle

Patent metadata

Field	Value
Publication number	US-12359404-B2
Application number	US-202217881436-A
Country	US
Kind code	B2
Filing date	Aug 4, 2022
Priority date	Aug 6, 2021
Publication date	Jul 15, 2025
Grant date	Jul 15, 2025

Abstract

A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. Portions of the environment may include moisture, such as puddles or mud patches. A control system associated with the vehicle may include a traversability model or a moisture model to help the vehicle operate in the environment with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the vehicle attempting to traverse an untraversable portion of the environment, and the control system may employ the moisture model to reduce the likelihood of the vehicle performing an action that will damage a portion of the environment.

First claim

What is claimed is:

1. A method for operating in a construction environment with moisture by a construction vehicle, the method comprising:
moving, by the construction vehicle, along a route in the construction environment;
identifying a construction action to perform by the construction vehicle at a portion of the construction environment, the identified construction action to be performed as the construction vehicle moves through the portion along the route;
determining a measure of moisture for the portion of the construction environment by applying a moisture model to an image of the portion of the construction environment, the moisture model configured to determine the measure of moisture for the portion of the construction environment based on the image of the portion of the construction environment;
determining a likelihood that the construction vehicle performing the identified construction action will enlarge a water run-off channel or form a water run-off channel in the portion of the construction environment based on the identified construction action and the determined measure of moisture for the portion of the construction environment; and
responsive to the likelihood that the construction vehicle performing the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment exceeding a threshold likelihood, performing a second construction action by the construction vehicle, wherein a likelihood that the construction vehicle performing the second construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is less than the threshold likelihood.

2. The method of claim 1 , wherein the second construction action is performed instead of the identified construction action.

3. The method of claim 1 , wherein the second construction action comprises nullifying the identified construction action such that the identified construction action is not performed as the construction vehicle moves along the route.

4. The method of claim 1 , wherein the second construction action includes at least one of: modifying the route or modifying a driving parameter of the construction vehicle.

5. The method of claim 1 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on the route.

6. The method of claim 1 , determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on diagnostic information from one or more sensors of the construction vehicle.

7. The method of claim 1 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on characteristics describing the construction vehicle, the characteristics including at least one of: a wheel type, a wheel size, a tread type, an engine/motor type, a drive type, a make, a model, a weight, a fuel level, a treatment mechanism, or a coupling mechanism of the construction vehicle.

8. The method of claim 1 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on one or more ground types in the portion of the construction environment and a gradient of the portion of the construction environment.

9. The method of claim 1 , wherein the construction vehicle is autonomous.

10. The method of claim 1 , wherein the moisture model is machine learned.

11. The method of claim 1 , wherein determining the likelihood comprises applying the measure of moisture and the identified construction action to a model configured to determine the likelihood.

12. A construction vehicle configured to:
move along a route in a construction environment;
identify a construction action to perform at a portion of the construction environment, the identified construction action to be performed as the construction vehicle moves through the portion along the route;
determine a measure of moisture for the portion of the construction environment by applying a moisture model to an image of the portion of the construction environment captured by the construction vehicle, the moisture model configured to determine the measure of moisture for the portion of the construction environment based on the image of the portion of the construction environment;
determine a likelihood that the construction vehicle performing the identified construction action will enlarge a water run-off channel or form a water run-off channel in the portion of the construction environment based on the identified construction action and the determined measure of moisture for the portion of the construction environment; and
responsive to the likelihood that the construction vehicle performing the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment exceeding a threshold likelihood, perform a second construction action, wherein a likelihood that the construction vehicle performing the second construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is less than the threshold likelihood.

13. The construction vehicle of claim 12 , wherein the second construction action is performed instead of the identified construction action.

14. The construction vehicle of claim 12 , wherein the second construction action comprises nullifying the identified construction action such that the identified construction action is not performed as the construction vehicle moves along the route.

15. The construction vehicle of claim 12 , wherein the second construction action includes at least one of: modifying the route or modifying a driving parameter of the construction vehicle.

16. The construction vehicle of claim 12 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on the route.

17. The construction vehicle of claim 12 , determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on diagnostic information from one or more sensors of the construction vehicle.

18. The construction vehicle of claim 12 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channel or form the water run-off channel in the portion of the construction environment is further based on characteristics describing the construction vehicle, the characteristics including at least one of: a wheel type, a wheel size, a tread type, an engine/motor type, a drive type, a make, a model, a weight, a fuel level, a treatment mechanism, or a coupling mechanism of the construction vehicle.

19. The construction vehicle of claim 12 , wherein determining the likelihood that the identified construction action will enlarge the water run-off channe

Assignees

• Deere & Co

Inventors

• Redden Lee Kamp
• Sharma Divya
• Anderson Kent Michael
• Majusiak Bryon William
• Chostner Benjamin Ray
• Ostrowski James Patrick

Classifications

• B60W2420/403

  Image sensing, e.g. optical camera · CPC title

• B60W40/02

  related to ambient conditions · CPC title

• G06V20/588

  Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road · CPC title

• G06V10/82

  using neural networks · CPC title

• G07C5/0808

  Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title