公开(公告)号：US11247673B2

公开(公告)日：2022-02-15

申请号：US16506707

申请日：2019-07-09

Applicant: Ford Global Technologies, LLC.

Inventor： Nikhil Nagraj Rao ,  Scott Vincent Myers ,  Lisa Scaria ,  Harpreetsingh Banvait

IPC: B60W30/09 ,  G08G1/16 ,  G08G1/0967 ,  B60W50/14 ,  B60W30/095 ,  G05D1/00 ,  B60Q1/50 ,  B60Q1/32

Abstract: Techniques pertaining to vehicle occupancy indication and utilization thereof are described. A method may involve determining occupancy information regarding a number of occupants in a vehicle. The method may also involve indicating the occupancy information in either or both of a human-perceivable way and a machine-perceivable way.

公开(公告)号：US10891951B2

公开(公告)日：2021-01-12

申请号：US16162556

申请日：2018-10-17

Applicant: Ford Global Technologies, LLC

Inventor： Lisa Scaria ,  Praveen Narayanan ,  Francois Charette ,  Ryan Burke

IPC: G10L15/22 ,  G10L15/16 ,  G10L15/30 ,  G10L15/06 ,  G06N3/04

Abstract: A computing system can translate a spoken natural language command into an intermediate constructed language command with a first deep neural network and determine a vehicle command and an intermediate constructed language response with a second deep neural network based on receiving vehicle information. The computing system can translate the intermediate constructed language response into a spoken natural language response with a third deep neural network and operate a vehicle based on the vehicle command.

公开(公告)号：US10392011B2

公开(公告)日：2019-08-27

申请号：US15411439

申请日：2017-01-20

Applicant: Ford Global Technologies, LLC

Inventor： Nikhil Nagraj Rao ,  Scott Vincent Myers ,  Lisa Scaria ,  Harpreetsingh Banvait

IPC: B60Q1/50 ,  G08G1/16 ,  G05D1/00 ,  B60W30/09 ,  B60W30/095 ,  G08G1/0967 ,  B60W50/14

Abstract: Techniques pertaining to vehicle occupancy indication and utilization thereof are described. A method may involve determining occupancy information regarding a number of occupants in a vehicle. The method may also involve indicating the occupancy information in either or both of a human-perceivable way and a machine-perceivable way.

公开(公告)号：US20190135215A1

公开(公告)日：2019-05-09

申请号：US16200138

申请日：2018-11-26

Applicant: Ford Global Technologies, LLC

Inventor： Alexandru Mihai Gurghian ,  Scott Vincent Myers ,  Mohamed Ahmad ,  Lisa Scaria

IPC: B60R21/0134 ,  B60Q9/00 ,  G01S17/93 ,  E05F15/40 ,  G01S17/02

Abstract: The present invention extends to methods, systems, and computer program products for detecting hazards in anticipation of opening vehicle doors. Vehicle sensors (e.g., rear viewing cameras) can be used to detect and classify traffic, for example, as pedestrians, bicyclists, skateboarders, roller skaters, wheel chair, etc., approaching on the side of a vehicle. When there is a possibility of a vehicle occupant opening a door into approaching traffic, a warning can be issued in the vehicle cabin to alert vehicle occupants of the approaching traffic. In one aspect, a vehicle prevents a door from opening if opening the door would likely cause an accident.

公开(公告)号：US10891949B2

公开(公告)日：2021-01-12

申请号：US16125944

申请日：2018-09-10

Applicant: Ford Global Technologies, LLC

Inventor： Praveen Narayanan ,  Lisa Scaria ,  Ryan Burke ,  Francois Charette ,  Punarjay Chakravarty ,  Kaushik Balakrishnan

IPC: G10L21/00 ,  G10L15/22 ,  G10L15/16 ,  G10L25/21 ,  G10L15/30 ,  G06N3/04 ,  G06N3/08 ,  B60W10/04 ,  B60W10/20 ,  B60W10/18 ,  B60W50/10 ,  B60W50/00

Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.

公开(公告)号：US20200082817A1

公开(公告)日：2020-03-12

申请号：US16125944

申请日：2018-09-10

Applicant: Ford Global Technologies, LLC

Inventor： Praveen Narayanan ,  Lisa Scaria ,  Ryan Burke ,  Francois Charette ,  Punarjay Chakravarty ,  Kaushik Balakrishnan

IPC: G10L15/22 ,  G10L15/16 ,  G10L25/21 ,  G10L15/30 ,  G06N3/04 ,  G06N3/08 ,  B60W50/10 ,  B60W10/04 ,  B60W10/20 ,  B60W10/18

Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.

公开(公告)号：US20190304480A1

公开(公告)日：2019-10-03

申请号：US15940639

申请日：2018-03-29

Applicant: Ford Global Technologies, LLC

Inventor： Praveen Narayanan ,  Lisa Scaria ,  Francois Charette ,  Ashley Elizabeth Micks ,  Ryan Burke

IPC: G10L21/02 ,  G10L15/16 ,  G06N5/04 ,  G10L15/06 ,  G06F3/16 ,  G10L25/03

Abstract: Systems, methods, and devices for speech transformation and generating synthetic speech using deep generative models are disclosed. A method of the disclosure includes receiving input audio data comprising a plurality of iterations of a speech utterance from a plurality of speakers. The method includes generating an input spectrogram based on the input audio data and transmitting the input spectrogram to a neural network configured to generate an output spectrogram. The method includes receiving the output spectrogram from the neural network and, based on the output spectrogram, generating synthetic audio data comprising the speech utterance.

公开(公告)号：US20180251091A1

公开(公告)日：2018-09-06

申请号：US15972541

申请日：2018-05-07

Applicant: Ford Global Technologies, LLC

Inventor： Alexandru Mihai Gurghian ,  Scott Vincent Myers ,  Mohamed Ahmad ,  Lisa Scaria

IPC: B60R21/0134 ,  B60Q9/00 ,  G01S17/93 ,  G01S17/02 ,  E05F15/40

CPC classification number: B60R21/0134 ,  B60Q9/008 ,  E05F15/40 ,  E05Y2400/54 ,  E05Y2900/531 ,  G01S17/026 ,  G01S17/93

Abstract: The present invention extends to methods, systems, and computer program products for detecting hazards in anticipation of opening vehicle doors. Vehicle sensors (e.g., rear viewing cameras) can be used to detect and classify traffic, for example, as pedestrians, bicyclists, skateboarders, roller skaters, wheel chair, etc., approaching on the side of a vehicle. When there is a possibility of a vehicle occupant opening a door into approaching traffic, a warning can be issued in the vehicle cabin to alert vehicle occupants of the approaching traffic. In one aspect, a vehicle prevents a door from opening if opening the door would likely cause an accident.

公开(公告)号：US11410667B2

公开(公告)日：2022-08-09

申请号：US16457150

申请日：2019-06-28

Applicant: Ford Global Technologies, LLC

Inventor： Punarjay Chakravarty ,  Lisa Scaria ,  Ryan Burke ,  Francois Charette ,  Praveen Narayanan

IPC: G10L19/02 ,  G10L19/00 ,  G10L19/16

Abstract: A speech conversion system is described that includes a hierarchical encoder and a decoder. The system may comprise a processor and memory storing instructions executable by the processor. The instructions may comprise to: using a second recurrent neural network (RNN) (GRU1) and a first set of encoder vectors derived from a spectrogram as input to the second RNN, determine a second concatenated sequence; determine a second set of encoder vectors by doubling a stack height and halving a length of the second concatenated sequence; using the second set of encoder vectors, determine a third set of encoder vectors; and decode the third set of encoder vectors using an attention block.

公开(公告)号：US20210097783A1

公开(公告)日：2021-04-01

申请号：US16587084

申请日：2019-09-30

Applicant: Ford Global Technologies, LLC

Inventor： Iman Soltani Bozchalooi ,  Francis Assadian ,  Lisa Scaria

IPC: G07C5/08 ,  G07C5/00 ,  G05D1/02 ,  G05D1/00 ,  G01S13/86 ,  H04L29/08

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine performance of a plurality of vehicle data sources used to operate a vehicle by evaluating each vehicle data source output data and train a deep neural network to determine reliability for each of the vehicle data sources based on the performance using reinforcement learning. The instructions can further include instructions to combine output data from the vehicle data sources based on the reliability including using the deep neural network to correlate output data from one or more vehicle data sources to the performance to determine how accurately the output data from each vehicle data source corresponds to vehicle performance and operate the vehicle based on combined output data.