Abstract: 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.

Abstract: A method for conditional operation of an autonomous agent includes: collecting a set of inputs; processing the set of inputs; determining a set of policies for the agent; evaluating the set of policies; and operating the ego agent. A system for conditional operation of an autonomous agent includes a set of computing subsystems (equivalently referred to herein as a set of computers) and/or processing subsystems (equivalently referred to herein as a set of processors), which function to implement any or all of the processes of the method.

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

Abstract: A method for predicting external agent behavior can include: receiving decisioning data, identifying a set of environmental agents (e.g., external agents), and evaluating a set of hypotheses for each environmental agent. A system for predicting external agent behavior can include a computing system and a sensor suite (e.g., onboard an autonomous vehicle), which can function to implement any or all of the processes of the method.

Abstract: A method for risk-aware policy assessment for an autonomous vehicle can include: collecting information associated with an environment of an ego vehicle; determining a set of policies; determining and assessing a set of risks encounterable (e.g., potentially encountered in the future) by the ego vehicle, and operating the ego vehicle based on the assessed risks. A system implementing the method can include a sensor suite, a computing system, a vehicle control system, and/or any other suitable set of components. In variants, the computing system can implement a multi-policy decision model, a risk model, an element selector, a policy generator, a fallback controller, policies (e.g., made up at least of policy elements, etc.), and/or any other suitable system components.

Abstract: A system for impact-based operation of an autonomous agent (equivalently referred to herein as an ego agent and autonomous vehicle) includes and/or interfaces with a computing subsystem (equivalently referred to herein as a computer and/or set of computers). A method for impact-based operation of an autonomous agent includes: receiving a set of inputs; predicting a set of future scenarios; and determining a set of metrics based on the set of future scenarios. Additionally or alternatively, the method can include operating the autonomous agent based on the set of metrics and/or any other processes.

Abstract: The method can include: receiving a set of inputs; determining a set of policies based on the set of inputs; determining a set of scores associated with the set of environmental policies; and evaluating the set of policies. Additionally or alternatively, the method can include operating the ego agent according to a selected policy and/or any other processes. The method functions to facilitate scoring of policies based on ‘feasibility’ for agents in an environment. Additionally or alternatively, the method can function to facilitate autonomous operation of a vehicle (e.g., based on policy-feasibility of agents in the environment). Additionally or alternatively, the method can function to facilitate intention estimation for agents in an environment.

Abstract: A system for impact-based operation of an autonomous agent (equivalently referred to herein as an ego agent and autonomous vehicle) includes and/or interfaces with a computing subsystem (equivalently referred to herein as a computer and/or set of computers). A method for impact-based operation of an autonomous agent includes: receiving a set of inputs; predicting a set of future scenarios; and determining a set of metrics based on the set of future scenarios. Additionally or alternatively, the method can include operating the autonomous agent based on the set of metrics and/or any other processes.

Abstract: A method can include: determining a set of measurements; determining a visibility representation; determining a set of observations; generating a set of hypotheses; determining a set of tracks; and/or any other suitable elements. Additionally or alternatively, the method can optionally include planning a trajectory for the vehicle and/or any other suitable elements. The method functions to track objects and the uncertainty of existence thereof in the vehicle's environment over time.

Abstract: A system for operating an autonomous agent with incomplete environmental information can include and/or interface an autonomous operating system and an autonomous agent. A method for operating an autonomous agent with incomplete environmental information includes any or all of: receiving a set of inputs; determining a set of known objects in the ego vehicle's environment; determining a set of blind regions in the ego vehicle's environment; and inserting a set of virtual objects into the set of blind regions; selecting a set of virtual objects based on the set of blind regions; operating the autonomous agent based on the set of virtual objects; and/or any other suitable processes.

Abstract: The method for dynamically updating an environmental representation of an autonomous agent can include: receiving a set of inputs S210; generating an environmental representation S220; and updating the environmental representation S230. Additionally or alternatively, the method S200 can include providing the environmental representation to a planning module S240 and/or any other suitable processes. The method S200 functions to generate and/or dynamically update an environmental representation to facilitate control of an autonomous agent.

Abstract: A method for predicting external agent behavior can include: receiving decisioning data, identifying a set of environmental agents (e.g., external agents), and evaluating a set of hypotheses for each environmental agent. A system for predicting external agent behavior can include a computing system and a sensor suite (e.g., onboard an autonomous vehicle), which can function to implement any or all of the processes of the method.

Abstract: A system for operating an autonomous agent with incomplete environmental information can include and/or interface an autonomous operating system and an autonomous agent. A method for operating an autonomous agent with incomplete environmental information includes any or all of: receiving a set of inputs; determining a set of known objects in the ego vehicle's environment; determining a set of blind regions in the ego vehicle's environment; and inserting a set of virtual objects into the set of blind regions; selecting a set of virtual objects based on the set of blind regions; operating the autonomous agent based on the set of virtual objects; and/or any other suitable processes.

Abstract: The method can include: receiving a set of inputs; determining a set of policies based on the set of inputs; determining a set of scores associated with the set of environmental policies; and evaluating the set of policies. Additionally or alternatively, the method can include operating the ego agent according to a selected policy and/or any other processes. The method functions to facilitate scoring of policies based on ‘feasibility’ for agents in an environment. Additionally or alternatively, the method can function to facilitate autonomous operation of a vehicle (e.g., based on policy-feasibility of agents in the environment). Additionally or alternatively, the method can function to facilitate intention estimation for agents in an environment.

Abstract: A system 100 for remote assistance of an autonomous agent can include and/or interface with any or all of: a sensor suite 110, a computing system 120, a communication interface 130, and/or any other suitable components. The system can further optionally include a set of infrastructure devices 140, a teleoperator platform 150, and/or any other suitable components. The system 100 functions to enable information to be exchanged between an autonomous agent and a tele-assist. Additionally or alternatively, the system 100 can function to operate the autonomous agent (e.g., based on remote inputs received from a teleoperator, indirectly, etc.) and/or can perform any other suitable functions.

Abstract: A system 100 for remote assistance of an autonomous agent can include and/or interface with any or all of: a sensor suite 110, a computing system 120, a communication interface 130, and/or any other suitable components. The system can further optionally include a set of infrastructure devices 140, a teleoperator platform 150, and/or any other suitable components. The system 100 functions to enable information to be exchanged between an autonomous agent and a tele-assist. Additionally or alternatively, the system 100 can function to operate the autonomous agent (e.g., based on remote inputs received from a teleoperator, indirectly, etc.) and/or can perform any other suitable functions.

Abstract: A method 100 assessing and mitigating risks encounterable by an autonomous vehicle includes collecting information associated with an environment of an ego vehicle and determining and assessing a set of risks encounterable by the ego vehicle. A system for assessing and mitigating risks can include and/or interface with an ego vehicle (equivalently referred to herein as an autonomous vehicle, autonomous agent, ego agent, agent, etc.) and a set of computing subsystems (equivalently referred to herein as a set of computers) and/or processing subsystems (equivalently referred to herein as a set of processors), which function to implement any or all of the processes of the method.

Abstract: A system 100 for remote assistance of an autonomous agent can include and/or interface with any or all of: a sensor suite 110, a computing system 120, a communication interface 130, and/or any other suitable components. The system can further optionally include a set of infrastructure devices 140, a teleoperator platform 150, and/or any other suitable components. The system 100 functions to enable information to be exchanged between an autonomous agent and a tele-assist. Additionally or alternatively, the system 100 can function to operate the autonomous agent (e.g., based on remote inputs received from a teleoperator, indirectly, etc.) and/or can perform any other suitable functions.

Abstract: 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.

Abstract: A system for impact-based operation of an autonomous agent (equivalently referred to herein as an ego agent and autonomous vehicle) includes and/or interfaces with a computing subsystem (equivalently referred to herein as a computer and/or set of computers). A method for impact-based operation of an autonomous agent includes: receiving a set of inputs; predicting a set of future scenarios; and determining a set of metrics based on the set of future scenarios. Additionally or alternatively, the method can include operating the autonomous agent based on the set of metrics and/or any other processes.