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公开(公告)号：US12228936B2
公开(公告)日：2025-02-18
申请号：US18096695
申请日：2023-01-13
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: G05D1/00 , G06F18/21 , G06F18/214 , G06N20/00 , G06V10/764 , G06V10/82 , G06V20/56
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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2.发明公开公开(公告)号：US20240300531A1
公开(公告)日：2024-09-12
申请号：US18654315
申请日：2024-05-03
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: B60W60/00 , B60W30/09 , B60W30/095 , G05B13/02 , G06N3/045
CPC classification number: B60W60/0011 , B60W30/09 , B60W30/0956 , G05B13/027 , G06N3/045 , B60W2420/408 , B60W2554/20 , B60W2554/40 , B60W2555/60 , B60W2556/50
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：US20230316927A1
公开(公告)日：2023-10-05
申请号：US17962459
申请日：2022-10-07
Applicant: Gatik AI Inc.
Inventor： Apeksha Kumavat , Gautam Narang , Arjun Narang , Shaurya Agarwal , Sam Saad , Engin Burak Anil
CPC classification number: G08G1/22 , B60W60/00256 , G08G1/20 , B60W50/10 , B60W2420/52 , B60W2420/40 , B60W2756/10 , B60W2556/50 , B60W2555/00
Abstract: A method for operation of fleet vehicles includes collecting a set of inputs; processing the set of inputs to determine a set of actions associated with a vehicle and/or a site; and triggering the set of actions. Additionally or alternatively, the method can include aggregating any or all of the set of inputs, and/or any other suitable processes. A system for operation of fleet vehicles can include and/or interface with any or all of: a computing subsystem, a set of management subsystems, a set of user interfaces, a set of sensors, a set of fleet vehicles, a set of non-fleet vehicles, and/or any other components.
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公开(公告)号：US20220214693A1
公开(公告)日：2022-07-07
申请号：US17704301
申请日：2022-03-25
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：US20220135072A1
公开(公告)日：2022-05-05
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 , B60W30/095 , B60W30/09
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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Patent Agency Ranking
公开(公告)号：US12222716B2
公开(公告)日：2025-02-11
申请号：US18075778
申请日：2022-12-06
Applicant: Gatik AI Inc.
Inventor： Apeksha Kumavat , Arjun Narang , Gautam Narang , Dharmateja Kadem , Gunnar Newquist
Abstract: A system for operating an autonomous agent with a remote operator includes a remote subsystem, a local subsystem, and a communication subsystem. A method for operating an autonomous agent with a remote operator includes receiving and processing a set of inputs; presenting a set of outputs to a remote subsystem; receiving an input from a remote operator; and operating the autonomous agent. Additionally or alternatively, the method can include any or all of: detecting a failure and/or triggering a failure response; detecting a particular scenario associated with the autonomous agent; triggering a remote operator request; processing remote operator input; and/or any other processes.
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公开(公告)号：US12091052B2
公开(公告)日：2024-09-17
申请号：US18082173
申请日：2022-12-15
Applicant: Gatik AI Inc.
Inventor： Apeksha Kumavat , Brian McLean , Siddharth Ram , Arjun Narang , Gautam Narang
CPC classification number: B60W60/00186 , B60W50/0225 , B60W60/0015 , B60W2050/0215
Abstract: A system for addressing failure in an autonomous agent includes a driving subsystem, a control subsystem, a central computing subsystem, and an autonomous vehicle (AV) sensor subsystem. The system can optionally additionally include a power subsystem, a vehicle chassis subsystem, a communication subsystem, a distributed computing and/or processing subsystem, a supplementary sensor subsystem, and/or any other components. A method for addressing failure can include any or all of: detecting and responding to a failure; and operating the vehicle. Additionally or alternatively, the method 200 can include any other processes.
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公开(公告)号：US20230365153A1
公开(公告)日：2023-11-16
申请号：US18225319
申请日：2023-07-24
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: B60W60/00 , G01C21/36 , H04W4/021 , G01C21/34 , G06N20/00 , G06F18/214 , G06V10/764 , G06V10/82 , G06V10/70 , G06V20/56
CPC classification number: B60W60/001 , G01C21/3673 , H04W4/021 , G01C21/3461 , G06N20/00 , G06F18/2155 , G06V10/764 , G06V10/82 , G06V10/87 , G06V20/56
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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9.发明公开公开(公告)号：US20230152816A1
公开(公告)日：2023-05-18
申请号：US18096695
申请日：2023-01-13
Applicant: Gatik AI Inc.
Inventor： Gautam Narang , Apeksha Kumavat , Arjun Narang , Kinh Tieu , Michael Smart , Marko Ilievski
IPC: G05D1/02 , G05D1/00 , G06N20/00 , G06F18/21 , G06F18/214 , G06V10/764 , G06V10/82 , G06V20/56
CPC classification number: G05D1/0219 , G05D1/0221 , G05D1/0088 , G06N20/00 , G05D1/0214 , G06F18/217 , G06F18/2155 , G06V10/764 , G06V10/82 , G06V20/56
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：US11586214B2
公开(公告)日：2023-02-21
申请号：US17704301
申请日：2022-03-25
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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