Ford Global Technolgoies, LLC

Guangzhou Automobile Group Co., Ltd.

Midea Group Co., Ltd.

Cisco Technology, Inc.

The Uab Research Foundation (the University of Alabama at Birmingham)

Asml Netherlands B.v.

Amazon Technologies, Inc.

Maplebear Inc.

Cisco Systems Inc.

Chen Zhang

Luke Niewiadomski

Ming Lang Kuang

Mark Steven Yamazaki

Rajit Johri

Roger Arnold Trombley

Xiaoyong Wang

Yanan Zhao

Jeffrey Allen Doering

Yu Ling

Erick Michael Lavoie

Douglas J Rogan

Shannon Brooks-Lehnert

Kenneth Michael Mayer

Mark Davison

Bozhi Yang

Xiaohui Li

Haibin Huang

Felix Nedorezov

Scott James Thompson

Xin Liu

Seyed Armin Raeis Hosseiny

Bo Bao

George Edmund Walley

Darrel Jay Lewis

James Edwin Smith, Jr

Michael David Tracy

Meng Yao

Steven Wayne Friedlander

Wei Ling

Li Yan

Peter Ling

Marco Pessi

Zhang Xiaopu

Meng Wang

Jason Meyer

Walter Joseph Ortmann

Alexander O'Connor Gibson

Vidya Nariyambut Murali

Mathew Alan Boesch

Li Xu

Bruno Sielly Jales Costa

Todd Mccullough

Dominique Meroux

Qiang Zhang

Jiao Liang

Rebecca Kreucher

Theresa Lin

Yi Zhang

Bernard D Nefcy

Wei Liang

Eric L Reed

Eric Hongtei Tseng

Dongyan Wang

Donald Jacob Mattern

Joseph F Stanek

David Crist Gabriel

Kyle Simmons

Nikhil Nagraj Rao

Jen-Shiang Wang

Ilia Gilderman

Michael Chen

John MacDonald Winford

Ajay Pankaj Sampat

Chi Zhang

Dongran Liu

Hongwei Feng

Zhen Jiang

Edward Paul Murray

Qin Yang

Radhika Anand

Eran Schitzer

Lijun Wang

Yu Lei

Rostislav Babocichin

Zheng Liu

Arun Kumar Thiagarajan

Donald T Wooton

Yunbo Guo

Kai Wu

Nicholas Sturm

Harpreet Kaur Chawla

Yinguang Li

Weizhe Zhang

Xiaofeng Xu

Ramya Kaushik

Knievel Co

Danial George Neault

Sameer Malik

Samujjwal Roy

Venu Reddy

Michael D Soo

Siva Raghupathy

Ruiming Zhu

Rockson Chang

Licheng Yin

Aaron Dou

Aleksey Shepelev

The present disclosure is directed to determining shopper-location pairs. In particular, the methods and systems of the present disclosure may identify a set of available shoppers associated with an online shopping concierge platform and located in a geographic area; identify a set of available warehouse locations associated with the online shopping concierge platform and located in the geographic area; and determine, based at least in part on the set of available shoppers, the set of available warehouse locations, and one or more machine learning (ML) models, a set of shopper-location pairs optimized based at least in part on time required by the set of available shoppers to travel from their respective current locations to one or more of the set of available warehouse locations.

Location-based assignment of shopper-location pairs

A vehicle hitching assistance system includes a controller executing an initial alignment process including searching for a trailer within a specified area of image data that is less than a total field of the image data in directions corresponding with both a longitudinal distance between the vehicle and the trailer and a lateral direction perpendicular to the longitudinal distance, presenting an indication to a driver of the vehicle to reposition the vehicle when the trailer is not identified within the specified area, and removing the indication when the trailer is identified within the specified area. The controller further executes an automated backing process upon identifying the trailer within the specified area, including identifying a coupler of the trailer and outputting a steering signal to the vehicle to cause the vehicle to steer to align a hitch ball of the vehicle with the coupler of the trailer during reversing.

Application of auxiliary lighting in automatic hitch operation

A method for vehicle-to-vehicle charging includes identifying a plug-in hybrid electric vehicle (PHEV) for charging based on a determination that the PHEV's engine will start prior to the PHEV's battery being charged from an external power source. The method can include identifying a battery electric vehicle (BEV) to provide charging to the identified PHEV and transmitting location information to at least one of the PHEV or the BEV for navigating to the location of the other of the PHEV or the BEV. An electrical connection between the BEV and the PHEV is verified and a BEV to PHEV charging process is actuated.

Vehicle-to-vehicle charging

A method for evaluating images of a printed pattern. The method includes obtaining a first averaged image of the printed pattern, where the first averaged image is generated by averaging raw images of the printed pattern. The method also includes identifying one or more features of the first averaged image. The method further includes evaluating the first averaged image, using an image quality classification model and based at least on the one or more features. The evaluating includes determining, by the image quality classification model, whether the first averaged image satisfies a metric.

Utilize machine learning in selecting high quality averaged SEM images from raw images automatically

A method of detecting safe and other states of battery while electric vehicle is being driven controls an inverter to generate ripple current on the battery; ripple voltages of a plurality of battery cells are measured, voltage phase shifts between the battery cells are calculated. The battery can be analyzed as normal or otherwise according to the voltage phase shift between plurality of the battery cells. A vehicle-mounted device and a non-volatile storage medium therein, for performing the above-described method, are also disclosed.

Method for detecting state of battery installed in vehicle, and vehicle-mounted battery-monitoring device

A computer includes a processor and a memory storing instructions executable by the processor to collect operation data of one or more components of a vehicle, input the collected operation data and previously stored operation data to a first machine learning program that assigns the collected operation data to one of a plurality of previously determined paths and outputs a target fuel consumption rate of the vehicle based on the assigned path, input the target fuel consumption rate and the collected operation data to a second machine learning program that outputs a plurality of operation settings of the one or more components to attain the target fuel consumption rate, and actuate the one or more components to attain the plurality of operation settings.

Enhanced vehicle operation

A method and system for preventing battery thermal runaway are provided. The method includes: detecting or predicting whether there is a thermal runaway risk for each battery cell or battery module of a battery pack; and in response to detecting or predicting that there is a thermal runaway risk for at least one battery cell or battery module of the battery pack, transferring battery energy of the at least one battery cell or battery module to the battery pack or another battery pack as thermal energy or electric energy.

Method and system for preventing battery thermal runaway

A workload of a database may be evaluated to provide a database migration recommendation. A request for a recommendation to migrate a database to a new host may be received. An evaluation of the workload of a client application of the database at a current host may be performed. The migration recommendation may be returned based on the evaluation of the workload of the client application of the database. In some embodiments, the migration recommendation may trigger an automated migration of the database to the new host.

Evaluating workload for database migration recommendations

A vehicle-mounted device for detecting battery state comprises a controller, a load unit, and a switch unit. The load unit is coupled to the battery, the switch unit is coupled between the battery and the load unit. The controller can control the switch unit to disconnect or connect the battery and the load unit at a predefined frequency. The controller can switch the load unit to generate ripple voltage on the battery, and measure the ripple voltage of each battery cell, an abnormal state of a battery can be determined according to the ripple voltage of each battery cell.

Battery state detection device and vehicle device

A thermal management system includes a refrigerant loop, a motor coolant loop, and a battery coolant loop. The refrigerant loop includes a first refrigerant main-line, a second refrigerant main-line, a first refrigerant branch, and a second refrigerant branch. The first refrigerant main-line includes a compressor, the second refrigerant main-line includes a cabin condenser, the first refrigerant branch includes a cabin evaporator, the second refrigerant branch includes a radiator. The first refrigerant main-line and the second refrigerant main-line selectively communicate with one of the first and second refrigerant branches. The battery coolant loop includes a coolant main-line, a first coolant branch connected to the cabin evaporator, a second coolant branch connected to the cabin condenser, and a third coolant branch. The coolant main-line selectively communicates with at least one of the first to third coolant branches. The battery coolant loop connects to the motor coolant loop in series or in parallel.

Thermal management system and electric vehicle having the same

A method for identifying a trailer connection for a vehicle includes storing a plurality of connection configurations as saved configurations. The connection configurations identify a hitch compatibility of a coupler of a trailer to a hitch assembly. The method further comprises capturing image data depicting the hitch assembly and processing the image data. Based on the processing of the image data, the method further identifies a detected hitch configuration of the hitch assembly as a first hitch configuration of the saved configurations.

System and method for trailer height adjustment

A vehicle hitching assistance system includes a controller acquiring image data from the vehicle and identifying a trailer within a specified area of the image data and then identifying a coupler of the trailer. The specified area is less than a total field of the image data. The controller then outputs a steering signal to the vehicle to cause the vehicle to steer to align a hitch ball of the vehicle with the coupler.

A natural language processing (NLP) apparatus includes a housing, a built-in voice input interface; a built-in data communication interface configured to establish data communication with multiple types of appliances; a built-in NLP module, and a built-in control device. A first voice input is received through the built-in voice input interface; if the target appliance is a first appliance of a first appliance type, the first voice input is processed using a first NLP model of the built-in NLP module to obtain a first machine command, and the first machine command is sent via the built-in data communication interface to the first appliance; and if the target appliance is a second appliance of a second appliance type, the first voice input is processed using a second NLP model of the built-in NLP module, and the second machine command is sent via the built-in data communication interface to the second appliance.

System and method for providing portable natural language processing interface across multiple appliances

A method for improving a process model by measuring a feature on a printed design that was constructed based in part on a target design is disclosed. The method includes obtaining a) an image of the printed design from an image capture device and b) contours based on shapes in the image. The method also includes identifying, by a pattern recognition program, patterns on the target design that include the feature and determining coordinates, on the contours, that correspond to the feature. The method further includes improving the process model by at least a) providing a measurement of the feature based on the coordinates and b) calibrating the process model based on a comparison of the measurement with a corresponding feature in the target design.

Utilize pattern recognition to improve SEM contour measurement accuracy and stability automatically

Growing community of inventors

Canton, MI, United States of America

Chen Zhang