James C Ostrowski

US Patent:

20230076562, Mar 9, 2023

Filed:

Nov 11, 2022

Appl. No.:

17/985766

Inventors:

- Sunnyvale CA, US
James Patrick Ostrowski - Mountain View CA, US
Lee Kamp Redden - Palo Alto CA, US
Olgert Denas - Sunnyvale CA, US
Chia-Chun Fu - Sunnyvale CA, US
Chris Padwick - Menlo Park CA, US

International Classification:

G06V 20/10
G06N 5/04
G06T 7/10
G06V 10/26

Abstract:

A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.

US Patent:

20230038422, Feb 9, 2023

Filed:

Aug 4, 2022

Appl. No.:

17/881436

Inventors:

- Sunnyvale CA, US
Divya Sharma - San Jose CA, US
Kent Michael Anderson - Signal Mountain TN, US
Bryon William Majusiak - Incline Village NV, US
Benjamin Ray Chostner - San Francisco CA, US
James Patrick Ostrowski - Mountain View CA, US

International Classification:

E02F 9/26
E02F 9/20
G05D 1/02
G07C 5/08
G06V 10/82
G06V 20/56

Abstract:

A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. Portions of the environment may include moisture, such as puddles or mud patches. A control system associated with the vehicle may include a traversability model or a moisture model to help the vehicle operate in the environment with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the vehicle attempting to traverse an untraversable portion of the environment, and the control system may employ the moisture model to reduce the likelihood of the vehicle performing an action that will damage a portion of the environment.

US Patent:

20210406540, Dec 30, 2021

Filed:

Jul 17, 2021

Appl. No.:

17/378658

Inventors:

- Sunnyvale CA, US
Christopher Grant Padwick - Menlo Park CA, US
Rajesh Radhakrishnan - Mountain View CA, US
James Patrick Ostrowski - Mountain View CA, US

International Classification:

G06K 9/00
G06T 7/00
G06K 9/32
G06K 9/62
G06K 9/46
A01M 7/00
G06T 7/73

Abstract:

A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.

US Patent:

20210378187, Dec 9, 2021

Filed:

Aug 24, 2021

Appl. No.:

17/410998

Inventors:

- Sunnyvale CA, US
James Patrick Ostrowski - Sunnyvale CA, US
Kent Anderson - Sunnyvale CA, US
Edward William Jeffcott Pell - Sunnyvale CA, US

International Classification:

A01G 22/00
A01C 21/00
A01M 21/04

Abstract:

A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.

US Patent:

20210304264, Sep 30, 2021

Filed:

Mar 25, 2020

Appl. No.:

16/830242

Inventors:

- San Francisco CA, US
Eric Ertmann - San Francisco CA, US
Andrew Hunt - San Francisco CA, US
Kristen Jaber - San Francisco CA, US
Mojtaba Mehrara - San Francisco CA, US
Pauline Nguyen - San Francisco CA, US
James Ostrowski - San Francisco CA, US
Gabriel Radovsky - Los Angeles CA, US
Yunshan Weng - San Francisco CA, US

Assignee:

Airbnb, Inc. - San Francisco CA

International Classification:

G06Q 30/02
G06Q 10/02
G06F 16/23

Abstract:

The present disclosure relates to the implementation of a pricing structure for the private booking of travel experiences. An experience is offered publicly, so as to be bookable by a plurality of customers, each customer booking a subset of a number of available slots for attendees. A customer may convert the experience from a public experience to a private experience by paying at least a minimum price for the private booking. Where the per person cost would exceed the minimum price, the customer pays an additional per guest value. A plurality of differing pricing rules may be applied in correspondence based on the respective numbers of different types of guests attending the event, or differing date/time instances of the experience.

US Patent:

20210264624, Aug 26, 2021

Filed:

May 7, 2021

Appl. No.:

17/314218

Inventors:

- Sunnyvale CA, US
Christopher Grant Padwick - Menlo Park CA, US
James Patrick Ostrowski - Mountain View CA, US

International Classification:

G06T 7/50
G06K 9/00
A01M 21/04
A01M 7/00
A01G 25/16
A01C 23/00
A01G 25/09
A01C 23/02

Abstract:

A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

US Patent:

20210090274, Mar 25, 2021

Filed:

Sep 25, 2020

Appl. No.:

17/033263

Inventors:

- Sunnyvale CA, US
Christopher Grant Padwick - Menlo Park CA, US
James Patrick Ostrowski - Mountain View CA, US

International Classification:

G06T 7/50
G06K 9/00
A01M 21/04
A01M 7/00
A01G 25/16
A01C 23/00
A01C 23/02
A01G 25/09

Abstract:

A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on the visual information in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

US Patent:

20200410234, Dec 31, 2020

Filed:

Sep 10, 2020

Appl. No.:

17/017223

Inventors:

- Sunnyvale CA, US
Edward William Jeffcott Pell - Sunnyvale CA, US
Rajesh Radhakrishnan - Mountain View CA, US
Thomas Welch Brown - Santa Clara CA, US
Lee Kamp Redden - Palo Alto CA, US
James Patrick Ostrowski - Mountain View CA, US

International Classification:

G06K 9/00
G06T 7/00
G06T 7/11
G06K 9/62
G06T 7/70
G06K 9/32
H04N 5/235
H04N 5/232
G06T 5/50
G06T 5/00
G06K 9/46
G06T 7/143
G06T 7/174

Abstract:

A plant treatment system automatically adjusts camera operation parameters for a camera used by the plant treatment system to identify and treat plants in a field. The plant treatment system can generate image segments of images received from the camera and classify the image segments based on whether the image segments represent plants. The plant treatment system determines whether each of the image segments is over- or under-exposed and adjusts the camera operation parameters for the camera based on the exposure classification of the image segments. Alternatively, the plant treatment system may use a plant detection model to identify plant pixels within an image that represent plants. The plant treatment system can then determine whether the identified plant pixels are over- or under-exposed and adjust the camera operation parameters accordingly.