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US Patent 10386856 Autonomous vehicle collision mitigation systems and methods

Patent 10386856 was granted and assigned to Uber on August, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Uber
Uber
Current Assignee
Uber
Uber
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10386856
Patent Inventor Names
Scott C. Poeppel0
Matthew Shaw Wood0
Nicholas G. Letwin0
Noah Zych0
William M. Leach0
Date of Patent
August 20, 2019
Patent Application Number
15637539
Date Filed
June 29, 2017
Patent Citations
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US Patent 10065638 Multi-model switching on a collision mitigation system
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Patent Citations Received
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US Patent 12077183 Method and system for remote assistance of an autonomous agent
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US Patent 11472436 Method and system for operating an autonomous agent with incomplete environmental information
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US Patent 11513189 Systems and methods for intelligently calibrating infrastructure devices using onboard sensors of an autonomous agent
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US Patent 11417219 Non-transitory computer-readable storage medium for storing collision risk calculation program, collision risk calculation method, and collision risk calculation apparatus
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US Patent 11430071 Navigation based on liability constraints
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US Patent 12001934 Method and apparatus for constructing informative outcomes to guide multi-policy decision making
0
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US Patent 12012123 Method and system for impact-based operation of an autonomous agent
0
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US Patent 12027053 Method and system for assessing and mitigating risks encounterable by an autonomous vehicle
0
...
Patent Primary Examiner
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Tyler J Lee
Patent abstract

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

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