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公开(公告)号：US11440564B2
公开(公告)日：2022-09-13
申请号：US17579862
申请日：2022-01-20
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: B60W60/00 , G05B13/02 , G06N3/04 , B60W30/09 , B60W30/095
Abstract: A system for data-driven, modular decision making and trajectory generation includes a computing system. A method for data-driven, modular decision making and trajectory generation includes: receiving a set of inputs; selecting a learning module such as a deep decision network and/or a deep trajectory network from a set of learning modules; producing an output based on the learning module; repeating any or all of the above processes; and/or any other suitable processes. Additionally or alternatively, the method can include training any or all of the learning modules; validating one or more outputs; and/or any other suitable processes and/or combination of processes.
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公开(公告)号：US11307594B2
公开(公告)日：2022-04-19
申请号：US17483539
申请日：2021-09-23
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
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公开(公告)号：US20220011776A1
公开(公告)日：2022-01-13
申请号：US17483539
申请日：2021-09-23
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
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公开(公告)号：US11157010B1
公开(公告)日：2021-10-26
申请号：US17127599
申请日：2020-12-18
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
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公开(公告)号：US11745758B2
公开(公告)日：2023-09-05
申请号：US17846870
申请日：2022-06-22
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: B60W60/00 , G01C21/34 , G01C21/36 , H04W4/021 , G06N20/00 , G06F18/214 , G06V10/764 , G06V10/82 , G06V10/70 , G06V20/56
CPC classification number: B60W60/001 , G01C21/3461 , G01C21/3673 , G06F18/2155 , G06N20/00 , G06V10/764 , G06V10/82 , G06V10/87 , G06V20/56 , H04W4/021
Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.
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公开(公告)号：US20220236737A1
公开(公告)日：2022-07-28
申请号：US17685905
申请日：2022-03-03
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
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公开(公告)号：US20220234610A1
公开(公告)日：2022-07-28
申请号：US17681543
申请日：2022-02-25
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.
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公开(公告)号：US11320827B2
公开(公告)日：2022-05-03
申请号：US17496053
申请日：2021-10-07
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
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公开(公告)号：US11267485B2
公开(公告)日：2022-03-08
申请号：US17306014
申请日：2021-05-03
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.
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公开(公告)号：US20220026913A1
公开(公告)日：2022-01-27
申请号：US17496053
申请日：2021-10-07
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
Abstract: A system for deterministic trajectory selection based on uncertainty estimation includes a set of one or more computing systems. A method for deterministic trajectory selection includes receiving a set of inputs; determining a set of outputs; determining uncertainty parameters associated with any or all of the set of inputs and/or any or all of the set of outputs; and evaluating the uncertainty parameters and optionally triggering a process and/or action in response.
