Kinh Han Tieu from 847 W Washington Ave, Sunnyvale, CA 94086, age 48

Us Patents

Method For Segmenting Images With Intensity-Based Label Propagation And Probabilistic Of Level Sets
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US Patent:

20110200255, Aug 18, 2011
Filed:

Feb 18, 2010
Appl. No.:

12/708228
Inventors:

Kinh Han Tieu - Boston MA, US
Yingxuan Zhu - Minoa NY, US
International Classification:

G06K 9/34
US Classification:

382180
Abstract:

A method exploits user labels in image segmentation. The user labels are propagated with respect to image intensity information. Propagated user labels are included in a cost function of level set evolution. The level set represents a probability of the object segment.

Method And System For Context-Aware Decision Making Of An Autonomous Agent
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US Patent:

20220348220, Nov 3, 2022
Filed:

Jul 5, 2022
Appl. No.:

17/858024
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

B60W 60/00
G01C 21/34
G01C 21/36
G06N 20/00
G06K 9/62
H04W 4/021
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 S; and/or any other suitable processes.

Method And System For Context-Aware Decision Making Of An Autonomous Agent
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US Patent:

20220332346, Oct 20, 2022
Filed:

Jun 28, 2022
Appl. No.:

17/851321
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

B60W 60/00
G01C 21/34
G01C 21/36
G06N 20/00
G06K 9/62
H04W 4/021
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 S; and/or any other suitable processes.

Systems And Methods For Volumetric Sizing
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US Patent:

20220327847, Oct 13, 2022
Filed:

Apr 22, 2022
Appl. No.:

17/726998
Inventors:

- Salt Lake City UT, US
Giuliano Pasqualotto - Mountain View CA, US
Giridhar Murali - Sunnyvale CA, US
Ethan Cheng - Cupertino CA, US
Kinh Tieu - Sunnyvale CA, US
International Classification:

G06V 20/64
G06T 7/10
G06T 7/50
G06T 7/187
G06T 7/11
G06T 7/62
G06T 7/12
G06V 10/75
Abstract:

A method for computing dimensions of an object in a scene includes: controlling, by a processor, a depth camera system to capture at least a frame of the scene, the frame including a color image and a depth image arranged in a plurality of pixels; detecting, by the processor, an object in the frame; determining, by the processor, a ground plane in the frame, the object resting on the ground plane; computing, by the processor, a rectangular outline bounding a projection of a plurality of pixels of the object onto the ground plane; computing, by the processor, a height of the object above the ground plane; and outputting, by the processor, computed dimensions of the object in accordance with a length and a width of the rectangular outline and the height.

Method And System For Context-Aware Decision Making Of An Autonomous Agent
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US Patent:

20220315042, Oct 6, 2022
Filed:

Jun 22, 2022
Appl. No.:

17/846870
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

B60W 60/00
G01C 21/36
H04W 4/021
G01C 21/34
G06N 20/00
G06K 9/62
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 S; and/or any other suitable processes.

Method And System For Context-Aware Decision Making Of An Autonomous Agent
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US Patent:

20220234610, Jul 28, 2022
Filed:

Feb 25, 2022
Appl. No.:

17/681543
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

B60W 60/00
G06N 20/00
G01C 21/34
G06K 9/62
H04W 4/021
G01C 21/36
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 S; and/or any other suitable processes.

Method And System For Deterministic Trajectory Selection Based On Uncertainty Estimation For An Autonomous Agent
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US Patent:

20220236737, Jul 28, 2022
Filed:

Mar 3, 2022
Appl. No.:

17/685905
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

G05D 1/02
G05D 1/00
G06K 9/62
G06N 20/00
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.

Method And System For Deterministic Trajectory Selection Based On Uncertainty Estimation For An Autonomous Agent
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US Patent:

20220214693, Jul 7, 2022
Filed:

Mar 25, 2022
Appl. No.:

17/704301
Inventors:

- Palo Alto CA, US
Apeksha Kumavat - Palo Alto CA, US
Arjun Narang - Palo Alto CA, US
Kinh Tieu - Palo Alto CA, US
Michael Smart - Palo Alto CA, US
Marko Ilievski - Palo Alto CA, US
International Classification:

G05D 1/02
G05D 1/00
G06K 9/62
G06N 20/00
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.