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公开(公告)号：US11760388B2
公开(公告)日：2023-09-19
申请号：US17179503
申请日：2021-02-19
Applicant: Argo AI, LLC
Inventor： Constantin Savtchenko , Alexander Metz , Andrew T. Hartnett , G. Peter K. Carr , Greydon Foil , Lorenzo Nardi
IPC: B60W60/00 , G06V20/56 , G06F18/214
CPC classification number: B60W60/00272 , B60W60/0015 , B60W60/00274 , G06F18/2155 , G06V20/588
Abstract: Methods of forecasting intentions of actors that an autonomous vehicle (AV) encounters in are disclosed. The AV uses the intentions to improve its ability to predict trajectories for the actors, and accordingly making decisions about its own trajectories to avoid conflict with the actors. To do this, for any given actor the AV determines a class of the actor and detects an action that the actor is taking. The system uses the class and action to identify candidate intentions of the actor and evaluating a likelihood of each candidate intention. The system repeats this process over multiple cycles to determine overall probabilities for each of the candidate intentions. The AV's motion planning system can use the probabilities to determine likely trajectories of the actor, and accordingly influence the trajectory that the AV will itself follow in the environment.
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公开(公告)号：US11884269B2
公开(公告)日：2024-01-30
申请号：US17179510
申请日：2021-02-19
Applicant: Argo AI, LLC
Inventor： Lorenzo Nardi , Andreas Eberlein , Constantin Savtchenko , Greydon Foil , Andrew T. Hartnett , G. Peter K. Carr , Jagjeet Singh , Bangjie Liu
IPC: B60W30/095 , B60W60/00 , B60W30/09 , B60W50/00 , B64C39/02
CPC classification number: B60W30/0956 , B60W30/09 , B60W50/0097 , B60W60/001 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B64C39/024 , B64U2201/10
Abstract: Systems/methods for operating an autonomous vehicle. The methods comprise, by a computing device: using sensor data to track an object that was detected in proximity to the autonomous vehicle; classifying the object into at least one dynamic state class of a plurality of dynamic state classes; transforming the at least one dynamic state class into at least one goal class of a plurality of goal classes; transforming the at least one goal class into at least one proposed future intention class of a plurality of proposed future intention classes; determining at least one predicted future intention of the object based on the proposed future intention class; and/or causing the autonomous vehicle to perform at least one autonomous driving operation based on the at least one predicted future intention determined for the object.
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公开(公告)号：US20220266873A1
公开(公告)日：2022-08-25
申请号：US17179503
申请日：2021-02-19
Applicant: Argo AI, LLC
Inventor： Constantin Savtchenko , Alexander Metz , Andrew T. Hartnett , G. Peter K. Carr , Greydon Foil , Lorenzo Nardi
Abstract: Methods of forecasting intentions of actors that an autonomous vehicle (AV) encounters in are disclosed. The AV uses the intentions to improve its ability to predict trajectories for the actors, and accordingly making decisions about its own trajectories to avoid conflict with the actors. To do this, for any given actor the AV determines a class of the actor and detects an action that the actor is taking. The system uses the class and action to identify candidate intentions of the actor and evaluating a likelihood of each candidate intention. The system repeats this process over multiple cycles to determine overall probabilities for each of the candidate intentions. The AV's motion planning system can use the probabilities to determine likely trajectories of the actor, and accordingly influence the trajectory that the AV will itself follow in the environment.
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公开(公告)号：US20220164245A1
公开(公告)日：2022-05-26
申请号：US17102303
申请日：2020-11-23
Applicant: Argo AI, LLC
Inventor： John Lepird , Lorenzo Nardi , Andrew T. Hartnett
Abstract: A system includes an on-board electronic device of an autonomous vehicle, and a computer-readable medium having one or more programming instructions. The system receives one or more forecast messages pertaining to a track, where each of the forecast messages includes a unique identifier associated with the track, and receives one or more inference messages pertaining to the track, where each of the inference messages includes the unique identifier. The system aggregates the one or more forecast messages and the one or more inference messages to generate a message set, and applies a set of processing operations to the message set to generate a feedback message. The system identifies one or more events from the feedback message, automatically generates an annotation for one or more of the events that is identified, and embeds the generated annotations in an event log for the autonomous vehicle.
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公开(公告)号：US20220266822A1
公开(公告)日：2022-08-25
申请号：US17179510
申请日：2021-02-19
Applicant: Argo AI, LLC
Inventor： Lorenzo Nardi , Andreas Eberlein , Constantin Savtchenko , Greydon Foil , Andrew T. Hartnett , G. Peter K. Carr , Jagjeet Singh , Bangjie Liu
IPC: B60W30/095 , B60W60/00 , B60W30/09 , B60W50/00
Abstract: Systems/methods for operating an autonomous vehicle. The methods comprise, by a computing device: using sensor data to track an object that was detected in proximity to the autonomous vehicle; classifying the object into at least one dynamic state class of a plurality of dynamic state classes; transforming the at least one dynamic state class into at least one goal class of a plurality of goal classes; transforming the at least one goal class into at least one proposed future intention class of a plurality of proposed future intention classes; determining at least one predicted future intention of the object based on the proposed future intention class; and/or causing the autonomous vehicle to perform at least one autonomous driving operation based on the at least one predicted future intention determined for the object.
