John L Jacobs

US Patent:

20220413620, Dec 29, 2022

Filed:

Aug 25, 2022

Appl. No.:

17/822277

Inventors:

- Mountain View CA, US
Ivan Poupyrev - Los Altos CA, US
Leonardo Giusti - San Francisco CA, US
Devon James O'Reilley Stern - Oakland CA, US
Jung Ook Hong - Sunnyvale CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 13/06
G01S 7/41

Abstract:

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

US Patent:

20220261084, Aug 18, 2022

Filed:

Apr 29, 2022

Appl. No.:

17/661494

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06V 40/20

Abstract:

Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

US Patent:

20210342008, Nov 4, 2021

Filed:

Sep 27, 2019

Appl. No.:

16/965735

Inventors:

- Mountain View CA, US
Ivan Poupyrev - Los Altos CA, US
Leonardo Giusti - San Francisco CA, US
Devon James O'Reilley Stern - Oakland CA, US
Jung Ook Hong - Sunnyvale CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 7/41
G01S 13/06

Abstract:

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor () and/or a movement sensor () produces a context of a user equipment (). The techniques and systems enable the user equipment () to recognize contexts when a radar system () can be unreliable and should not be used for gesture-recognition, enabling the user equipment () to automatically disable or “gate” the output from the radar system () according to context. The user equipment () prevents the radar system () from transitioning to a high-power state () to perform gesture-recognition in contexts where radar data detected by the radar system () is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

US Patent:

20210064146, Mar 4, 2021

Filed:

Jun 25, 2020

Appl. No.:

16/912635

Inventors:

- Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Lauren Bedal - San Francisco CA, US
John David Jacobs - San Diego CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G01S 7/41
G06F 3/0346
G09G 5/373
G09G 5/10
G09G 5/02

Abstract:

This document describes techniques and systems that enable a visual indicator for paused radar gestures. The techniques and systems use a radar field to enable an electronic device to accurately determine radar gestures, or other movement, by a user. Further, the electronic device can determine certain conditions that can make it difficult for the electronic device to properly determine the user's radar gestures. When the device includes an application that can be controlled using radar gestures (a radar-gesture application), and the conditions are present, the device can enter a gesture-paused mode. When the device enters this mode, the techniques provide a gesture-paused feedback element on a display, which lets the user know that there is at least one radar-gesture application available or running on the electronic device but that radar gestures cannot presently be used to control the application.

US Patent:

20210026454, Jan 28, 2021

Filed:

May 28, 2020

Appl. No.:

16/886626

Inventors:

- Mountain View CA, US
Patrick M. Amihood - Palo Alto CA, US
John David Jacobs - San Diego CA, US
Abel Seleshi Mengistu - Mountain View CA, US
Leonardo Giusti - San Francisco CA, US
Vignesh Sachidanandam - Redwood City CA, US
Devon James O'Reilley Stern - Oakland CA, US
Ivan Poupyrev - Los Altos CA, US
Brandon Barbello - Mountain View CA, US
Tyler Reed Kugler - Palo Alto CA, US
Johan Prag - Mountain View CA, US
Artur Tsurkan - San Francisco CA, US
Alok Chandel - Mountain View CA, US
Lucas Dupin Moreira Costa - Mountain View CA, US
Selim Flavio Cinek - Los Angeles CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 3/01
G06K 9/00

Abstract:

Systems and techniques are described for robust radar-based gesture-recognition. A radar system () detects radar-based gestures on behalf of application subscribers. A state machine () transitions between multiple states based on inertial sensor data. A no-gating state () enables the radar system () to output radar-based gestures to application subscribers. The state machine () also includes a soft-gating state () that prevents the radar system () from outputting the radar-based gestures to the application subscribers. A hard-gating state () prevents the radar system () from detecting radar-based gestures altogether. The techniques and systems enable the radar system () to determine when not to perform gesture-recognition, enabling user equipment () to automatically reconfigure the radar system () to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

US Patent:

20200073400, Mar 5, 2020

Filed:

Nov 6, 2019

Appl. No.:

16/675579

Inventors:

- Mountain View CA, US
Stephen M. ERLIEN - Mountain View CA, US
Stephan PLEINES - San Mateo CA, US
John L. JACOBS - Bonny Doon CA, US
Joshua P. SWITKES - Mountain View CA, US

Assignee:

Peloton Technology, Inc. - Mountain View CA

International Classification:

G05D 1/02
G01S 13/93
G01S 19/14
H01Q 1/32
G06K 9/00
B60W 30/00

Abstract:

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

US Patent:

20190279513, Sep 12, 2019

Filed:

Nov 8, 2018

Appl. No.:

16/184866

Inventors:

- Mountain View CA, US
Stephen M. Erlien - Mountain View CA, US
Joshua P. Switkes - Mountain View CA, US
Stephan Pleines - San Mateo CA, US
John L. Jacobs - Bonny Doon CA, US
Michael OConnor - Redwood City CA, US

Assignee:

Peloton Technology, Inc. - Mountain View CA

International Classification:

G08G 1/00
G05D 1/02
G01S 19/52
G01S 19/51

Abstract:

The system and methods comprising various aspects of the invention described herein disclose the coordination the platooning vehicles, including embodiments in which the same subset of satellite signals from a GNSS is used by all platooning vehicles to determine coordinates for position, relative position, and/or velocity. By using a uniform set of satellites for navigation calculations, discrepancies between the systems on different vehicles can be reduced, and a more uniform accuracy is achieved, allowing more predictable platooning.

US Patent:

20180217610, Aug 2, 2018

Filed:

Mar 26, 2018

Appl. No.:

15/936271

Inventors:

- Mountain View CA, US
Stephen M. ERLIEN - Mountain View CA, US
Stephan PLEINES - San Mateo CA, US
John L. JACOBS - Bonny Doon CA, US
Joshua P. SWITKES - Mountain View CA, US

International Classification:

G05D 1/02
G06T 7/20
G01S 13/93
G01S 19/14
H01Q 1/32
G06K 9/00
G01S 17/93
G01S 13/86

Abstract:

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.