Abstract: A system in a vehicle comprising one or more sensors configured to obtain cognitive-load data indicating a cognitive load of an occupant of the vehicle, a controller in communication with the one or more sensors, wherein the controller is configured to determine a cognitive load of the occupant utilizing at least the cognitive-load data in response to an initiation of a video conference session, and output on a vehicle display a first user interface in connection with the video conference session when the cognitive load exceeds a threshold and a second user interface in connection with the video conference session when the cognitive load is below a threshold, wherein the second user interface includes video of the video conference session and the first user interface excludes video of the video conference session.

Abstract: A system in a vehicle, comprising a transceiver configured to communicate with one or more mobile devices in a vehicle, wherein the one or more mobile devices are configured to initiate a voice session with a remote phone, one or more sensors configured to collect data indicating a presence of passengers in the vehicle, a controller in communication with the one or more sensors and the transceiver, wherein the controller is configured to determine the presence of passengers in the vehicle utilizing the data indicating the presence of passengers in the vehicle, and send data indicating the presence of passengers in the vehicle to the remote phone.

Abstract: A system in a vehicle comprises one or more sensors configured to obtain occupant information indicating a stress level of an occupant of the vehicle. The system also includes a wireless transceiver in communication with a mobile device including a camera configured to monitor the occupant, and a controller in communication with the one or more sensors and the wireless transceiver, wherein the controller is configured to determine a stress-level of the occupant utilizing at least the occupant information, initiate a video conference session on the mobile device between the occupant and one or more contacts of the occupant in response to the determination of the stress level of the occupant exceeding a threshold, and output on a vehicle display the video conference between the occupant and the one or more contacts.

Abstract: Embodiments of the present disclosure include a semiconductor device and methods of forming a semiconductor device. An embodiment is a method of forming a semiconductor device, the method comprising forming a conductive pad in a first substrate, forming an interconnecting structure over the conductive pad and the first substrate, the interconnecting structure comprising a plurality of metal layers disposed in a plurality of dielectric layers, bonding a die to a first side of the interconnecting structure, and etching the first substrate from a second side of the interconnecting structure, the etching exposing a portion of the conductive pad.

Abstract: A system in a vehicle including a primary caregiver vehicle device of a primary caregiver providing care to a companion. The primary caregiver vehicle device includes a wireless transceiver in communication with a secondary caregiver device of a secondary caregiver. The primary caregiver device includes a controller in communication with the wireless transceiver. The controller is configured to receive a request to transmit a companion profile of the companion to the secondary caregiver device. The companion profile includes data changing over time in response to data received from the primary caregiver vehicle device and the secondary caregiver device. The controller is further configured to transmit the companion profile from the primary caregiver vehicle device to the secondary caregiver device in response to the request to transmit the companion profile.

Abstract: A vehicle system in a vehicle, comprising a first sensor configured to survey an environment proximate to the vehicle, including an object outside of the vehicle, a second sensor located within a vehicle cabin and configured to obtain data indicative of facial information of an occupant of the vehicle, and a processor in communication with the first and second sensors and programmed to output information regarding the object on a display of the vehicle system in response to the data indicative of the facial information indicating that the occupant is viewing the object outside of the vehicle.

Abstract: Embodiments of the present disclosure include a semiconductor device and methods of forming a semiconductor device. An embodiment is a method of forming a semiconductor device, the method comprising forming a conductive pad in a first substrate, forming an interconnecting structure over the conductive pad and the first substrate, the interconnecting structure comprising a plurality of metal layers disposed in a plurality of dielectric layers, bonding a die to a first side of the interconnecting structure, and etching the first substrate from a second side of the interconnecting structure, the etching exposing a portion of the conductive pad.

Abstract: A vehicle includes a plurality of wheels. A vehicle steering controller controls a heading of the vehicle by controlling at least one of the plurality of wheels. A heading sensor detects the heading of the vehicle. A processor is coupled to the vehicle steering controller and the heading sensor, and the processor is programmed to receive a lane change signal that requests a lane change. Then, the processor determines the heading of the vehicle from the heading sensor. Based on this determination, the processor instructs the vehicle steering controller to reduce the heading of the vehicle to prior to executing the requested lane change. As a result, the lane change may be executed from a similar state each time.

Abstract: A system comprising one or more transceivers configured to communicate data with a communication device of a remote vehicle. The system may also include a processor in communication with the transceiver and programmed to receive data from the communication device indicating a location of the vehicle and data indicating that the vehicle departed prior to a threshold departure time, wherein the threshold departure time is determined in part by data received indicating a category of a point of interest (POI) associated with a location of the vehicle, and send a notification to a mobile device associated with the vehicle when the data indicating that vehicle departed is prior to the threshold departure time.

Abstract: An automated driving unit implements an automated driving of a vehicle by implementing a present operation and a subsequent operation in order. The subsequent operation is an operation to be implemented subsequently to the present operation during the automated driving. A determining unit determines the subsequent operation of the vehicle. An imaging unit creates an image relevant to the subsequent operation according to information on the subsequent operation. A display unit indicates the image relevant to the subsequent operation while the automated driving unit implements the present operation.

Abstract: A system in a vehicle comprises one or more transceivers configured to communicate data with a remote server, and a processor in communication with the transceiver and programmed to determine a location of the vehicle in response to data received from one or more sensors indicating a location of the vehicle/ The processor is further programmed to determine a trigger event associated with a point-of-interest (POI) in response to the data received from the remote server, receive data from the remote server indicating one or more contacts associated with the POI and locations of the one or more contacts, and output on a display a contact list in response to at least the data indicating the trigger event, wherein the contact list is generated utilizing at least the location of the one or more contacts.

Abstract: A method for recognizing face expressions is provided. The method includes: recognizing expression categories of expressions in a plurality of face images and obtaining recognition results between each expression category and another expression category; obtaining similarities between each expression category and another expression category according to the recognition results; classifying the expression categories into a plurality of expression groups according to the similarities; training a first recognition model to classify the expressions in the face images into the expression groups; and training a second recognition model for each of the expression groups to classify the face images in each of the expression group into one of the expression categories.

Abstract: Compounds of Formula (I): pharmaceutically acceptable salts thereof, deuterated derivatives of any of the foregoing, and metabolites of any of the foregoing are disclosed. Pharmaceutical compositions comprising the same, methods of treating cystic fibrosis using the same, and methods for making the same are also disclosed.

Abstract: A conjugated fiber includes a core and a sheath. The sheath covers the core, and a melting point of the sheath is lower than a melting point of the core by 60° C. to 160° C.

Abstract: A method for scheduling encoding of streaming data by a scheduling apparatus includes: when there is at least one idle hardware encoder and there is no full GOF in any one of the at least one streaming buffer, but there is at least one non-full GOF in any one of the at least one streaming buffer, then, calculating a reception rate of each of the at least one non-full GOF, and starting encoding already-received frames of the one of the at least one non-full GOF with a highest reception rate using one of the at least one idle hardware encoder; and if there is at least one idle hardware encoder and there is at least one full GOF in any one of the at least one streaming buffer, encoding one of the at least one full GOF using one of the at least one idle hardware encoder.

Abstract: A method for recognizing face expressions is provided. The method includes: recognizing expression categories of expressions in a plurality of face images and obtaining recognition results between each expression category and another expression category; obtaining similarities between each expression category and another expression category according to the recognition results; classifying the expression categories into a plurality of expression groups according to the similarities; training a first recognition model to classify the expressions in the face images into the expression groups; and training a second recognition model for each of the expression groups to classify the face images in each of the expression group into one of the expression categories.

Abstract: A vehicle system includes a vehicle size sensor mounted in a subject vehicle, the vehicle size sensor configured to detect whether a leading vehicle in front of the subject vehicle is oversized, and a processor coupled to the subject vehicle and the vehicle size sensor. The subject vehicle is configured to perform an assisted passing of the leading vehicle based on a passing parameter that defines a characteristic of the assisted passing, and the processor is programmed to, during the assisted passing: communicate with the vehicle size sensor to determined whether the leading vehicle is oversized, and modify the passing parameter when the leading vehicle is determined to be oversized.

Abstract: A system for monitoring vehicle drive states and transitioning between human drive control and autonomous drive control based on the vehicle drive states. The system includes a human/autonomous drive status and transition module. The module is configured to: receive data from an autonomous drive module and determine a drive state of the autonomous drive module based on the data received from the autonomous drive module; receive data from a driver status monitor (DSM) to determine a drive state of a human driver; and transition between human drive control and autonomous drive control by the autonomous drive module, and vice-versa, based on the determined drive states of the human driver and the autonomous drive module.

Abstract: A character recognition method is provided, including the steps of: recognizing a character string, which includes one or more characters, in a region of interest (ROI) using a first convolutional neural network (CNN) model to generate a recognized character string; and comparing the recognized character string with a plurality of character strings in a character database to find a character string corresponding to the recognized character string, wherein each of the character strings includes one or more characters; wherein if the character string corresponding to the recognized character string is found, the recognized character string is used as a character recognition result, otherwise, using a second CNN model to correct the recognized string and generate a new recognized character string as the character recognition result.

Abstract: An automated driving unit implements an automated driving of a vehicle by implementing a present operation and a subsequent operation in order. The subsequent operation is an operation to be implemented subsequently to the present operation during the automated driving. A determining unit determines the subsequent operation of the vehicle. An imaging unit creates an image relevant to the subsequent operation according to information on the subsequent operation. A display unit indicates the image relevant to the subsequent operation while the automated driving unit implements the present operation.