May Mobility, Inc.

Tom Voorheis

Edwin B Olson

Steve Vozar

Jeff Sterniak

Melinda Kothbauer

Sajan Patel

Stuart Fairley

Asheesh Ranjan

Rob Goeddel

Collin Johnson

Robert Goeddel

The method for dynamically updating an environmental representation of an autonomous agent can include: receiving a set of inputs S; generating an environmental representation S; and updating the environmental representation S. Additionally or alternatively, the method Scan include providing the environmental representation to a planning module Sand/or any other suitable processes. The method Sfunctions to generate and/or dynamically update an environmental representation to facilitate control of an autonomous agent.

Method and system for dynamically updating an environmental representation of an autonomous agent

A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Systems and methods for intelligently calibrating infrastructure devices using onboard sensors of an autonomous agent

A system and a method for autonomous decisioning and operation by an autonomous agent includes: collecting decisioning data including: collecting a first stream of data includes observation data obtained by onboard sensors of the autonomous agent, wherein each of the onboard sensors is physically arranged on the autonomous agent; collecting a second stream of data includes observation data obtained by offboard infrastructure devices, the offboard infrastructure devices being arranged geographically remote from and in an operating environment of the autonomous agent; implementing a decisioning data buffer that includes the first stream of data from the onboard sensors and the second stream of data from the offboard sensors; generating current state data; generating/estimating intent data for each of one or more agents within the operating environment of the autonomous agent; identifying a plurality of candidate behavioral policies; and selecting and executing at least one of the plurality of candidate behavioral policies.

Multi-perspective system and method for behavioral policy selection by an autonomous agent

A system for dynamic policy curation includes a computing system and interfaces with an autonomous agent. A method for dynamic policy curation includes collecting a set of inputs; processing the set of inputs; and determining a set of available policies based on processing the set of inputs. Additionally or alternatively, the method can include any or all of: selecting a policy; implementing a policy; and/or any other suitable processes.

Method and system for dynamically curating autonomous vehicle policies

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Ann Arbor, MI, United States of America

Tom Voorheis