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US Patent 11754408 Methods and systems for topological planning in autonomous driving

Patent 11754408 was granted and assigned to Argo AI on September, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Argo AI
Argo AI
Current Assignee
Argo AI
Argo AI
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11754408
Patent Inventor Names
Thomas Petroff
Neal Seegmiller
Albert Costa
Ramadev Burigsay Hukkeri
Christopher Cunningham
Date of Patent
September 12, 2023
Patent Application Number
16597283
Date Filed
October 9, 2019
Patent Citations
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US Patent 9494439 Autonomous vehicle operated with guide assistance of human driven vehicles
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US Patent 9547309 Selecting vehicle type for providing transport
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US Patent 9645577 Facilitating vehicle driving and self-driving
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US Patent 9734455 Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles
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US Patent 9868443 Reactive path planning for autonomous driving
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US Patent 8219298 Lane change assist system
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US Patent 8392117 Using topological structure for path planning in semi-structured environments
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US Patent 8626565 Vehicle dispatching method and system
...
Patent Primary Examiner
‌
Cuong H Nguyen
CPC Code
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B60W 2554/00
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B60W 30/18163
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B60W 2555/60
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G05D 2201/021
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G05D 1/0212
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G05D 1/0088
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G05D 1/02
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G05D 1/00
...

Systems and methods of maneuvering an autonomous vehicle in a local region using topological planning, while traversing a route to a destination location, are disclosed. The system includes an autonomous vehicle including one or more sensors and a processor. The processor is configured to determine the local region on the route and receive real-time information corresponding to the local region. The processor performs topological planning to identify on or more topologically distinct classes of trajectories, compute a constraint set for each of the one or more topologically distinct classes of trajectories, optimize a trajectory to generate a candidate trajectory for each constraint set, and select a trajectory for the autonomous vehicle to traverse the local region from amongst the one or more candidate trajectories. Each of the one or more topologically distinct classes is associated with a plurality of trajectories that take the same combination of discrete actions with respect to objects in the local region.

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