Invention Grant
- Patent Title: Off-road machine-learned obstacle navigation in an autonomous vehicle environment
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Application No.: US16953774Application Date: 2020-11-20
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Publication No.: US11906974B2Publication Date: 2024-02-20
- Inventor: Travis J. Davis
- Applicant: Deere & Company
- Applicant Address: US IL Moline
- Assignee: DEERE & COMPANY
- Current Assignee: DEERE & COMPANY
- Current Assignee Address: US IL Moline
- Agency: Fenwick & West LLP
- Main IPC: G05D1/00
- IPC: G05D1/00 ; G06V20/58 ; G06V20/64 ; G06N3/02 ; G06F18/24

Abstract:
An autonomous off-road vehicle, upon encountering an obstruction while navigating a route, can apply a first machine-learned model to identify the obstruction. In the event that the first machine-learned model cannot identify the obstruction, the autonomous off-road vehicle can apply a second machine-learned model configured to determine whether or not the obstruction can be ignored, for instance based on dimensions of the obstruction. If the obstruction can be ignored, the autonomous off-road vehicle can continue navigating the route. If the obstruction cannot be ignored, the autonomous off-road vehicle can modify the route, can stop, can flag the obstruction to a remote human operator, can modify an interface of a human operator to display a notification or a video feed from the vehicle, and the like.
Public/Granted literature
- US20220163974A1 OFF-ROAD MACHINE-LEARNED OBSTACLE NAVIGATION IN AN AUTONOMOUS VEHICLE ENVIRONMENT Public/Granted day:2022-05-26
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