Abstract: A method is described and includes providing remote assistance to a vehicle subsequent to a remote assistance (RA) event, the method comprising receiving perception data generated by onboard sensors of the vehicle; receiving supplemental data generated by at least one source external to the vehicle; processing the perception data and the supplemental data using a co-simulation process for simulating an environment of the vehicle; and providing results of the co-simulation process to a remote assistance (RA) service; wherein the results of the co-simulation process are used by the RA service to determine an RA response.

Abstract: The present disclosure is directed to collecting and processing data from computing devices of a plurality of autonomous vehicles (AVs). The data received from each of these AV computing devices may include raw sensor data or data that has been generated using data received by one or more sensors at respective AVs. Once this data is collected and associated with discrete locations and times, the data may be evaluated and used to generate mappings of various sorts. These mappings may include mappings of underground features generated based on an evaluations of vibration data. Alternatively, or additionally, these mapping may include mappings of landscape features, atmospheric features, or the locations of aircraft from data associated with certain types of sensing apparatus, for example radar apparatus or light detecting and ranging (LiDAR) apparatus.

Abstract: A system for predicting energy consumption by a vehicle during a trip has a controller adapted to receive a route plan for the trip. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The system has a plurality of machine learning modules, including a behavior predictor, a driving consumption predictor and an auxiliary consumption predictor. The controller is adapted to predict a total energy consumed by the vehicle during the trip by executing the plurality of machine learning modules. The driving consumption predictor is adapted to predict a primary energy consumed for propelling the vehicle based in part on the route plan. The auxiliary consumption predictor is adapted to predict a secondary energy consumed by the vehicle for non-propulsion purposes. The behavior predictor is adapted to predict an average vehicle speed based at least partially on traffic conditions.

Abstract: Sensors coupled to a first vehicle are used to measure sensor measurements. Based on the sensor measurements, the first vehicle identifies a risk to the first vehicle and/or to a second vehicle near the first vehicle, for example based on a distance between the first and second vehicle being unsafely low. The first vehicle generates an alert based on the risk and outputs the alert toward the second vehicle, for example visually through a screen and/or audibly using speakers, to warn an operator of the second vehicle about the risk.

Abstract: The subject disclosure relates to solutions for reducing or eliminating motion sickness experienced by a vehicle occupant/passenger. In some aspects, a process of the disclosed technology includes steps for collecting motion data associated with a vehicle using one or more environmental sensors, tracking eye movements of a user within a cabin of the vehicle, processing the motion data and the eye movements to identify a motion event, and generating a motion compensation signal based on the motion event. Systems and machine-readable media are also provided.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a semi-automated mode; receiving, by the processor, driver input including a measured driver torque; receiving, by the processor, threat data; determining, by the processor, a steering command bias based on an impedance relation, impedance parameters, the measured driver torque, and the threat data; determining, by the processor, a reference angle based on the steering command bias and a desired angle; and generating, by the processor, control data to control the steering of the autonomous vehicle based on the reference angle.

Abstract: A system for monitoring a battery module having a plurality of cells includes a sensor adapted to obtain respective cell voltages of the plurality of cells. The controller is adapted to receive data from the sensor, the controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to sort the respective cell voltages to create a voltage ranking. The voltage ranking is repeated with at least one new set of cell voltage readings obtained at a predefined checking frequency. Differences in the voltage ranking of the plurality of cells are analyzed. The controller is adapted to control operation of the battery module based in part on differences in the voltage ranking. The controller may be adapted to predict likelihood of a thermal runway event based in part on the differences in the voltage ranking.

Abstract: A drive system includes a prime mover that provides an input, and an output system that is driven by the input. A torque transfer system is coupled between the prime mover and the output system. The torque transfer system includes two gear planes. Each of the gear planes includes a pair of gear meshes, and each of the pair of gear meshes has a floating structure.

Abstract: An AV receives a delivery request made by a user. The AV navigates to the user's location. The AV's onboard controller determines that the AV has arrived at the location. The onboard controller then commands the AV's motor to pause motion. The onboard controller provides the user an access to a delivery assembly in the AV. The onboard controller or the delivery assembly detects, by using sensors in the delivery assembly, whether an item has been removed from or placed into the container. Subsequent to detecting that the item has been removed from or placed into the container, the onboard controller commands the AV's motor to resume motion. The onboard controller or delivery assembly may also control a movable element in the container to allow the user to load or unload the item from a safe spot or control a divider in the container to protect the user's privacy.

Abstract: A slim double-skin structure according to one aspect of the present invention may comprise: a window frame, an outer window sash frame provided on an outdoor side and coupled to the window frame, an outer glass provided on the outer window sash frame, an inner window sash frame provided on an indoor side and coupled to the window frame, an inner glass provided on the inner window sash frame, an awning film provided in a hollow layer formed between the outer glass and the inner glass to serve as a shading, and a case-type glass fixing frame which is provided in the outer window sash frame so as to be located in the hollow layer and fixes the outer glass to the outer window sash frame concurrently with building-in and guiding the awning film.

Abstract: A system and method of predicting a target vehicle entry into a side blind zone of an ADAS equipped vehicle and displaying a real-time alert to inform an operator or occupant of the ADAS equipped vehicle of the predicted target vehicle entry into the side blind zone. The system includes exterior sensors, interior sensors, an augmented reality rearview mirror, and a module. The module is configured to detect an object behind the ADAS equipped vehicle, predict a path of the object, determine a probability that the predicted path of the object will enter a side blind zone of the vehicle, and determine an entry of the object into the side blind zone of the vehicle when the probability exceeds a predetermined threshold.

Abstract: A method for optimizing sign includes receiving, by a controller of a vehicle, sensor data from a plurality of sensors of the vehicle. The method further includes detecting a sign along a road while the vehicle is in motion using the sensor data and, in response to detecting the sign along the road of the vehicle, determining an optimal location of the vehicle relative to the sign to recognize the sign. Further, the method includes recognizing a content of the sign using an optimal frame captured by the camera at the optimal location and, in response to recognizing the content of the sign, filtering the plurality of frames of the video captured by the camera to minimize a use of a computational resources of the controller.

Abstract: A battery module includes a first pouch battery cell and a neighboring second pouch battery cell. The battery module also includes a dielectric fluid in direct contact with and in circulation over and around each of the first and second pouch cells. The battery module additionally includes an immersion barrier positioned between the first and second pouch cells and defining an opening for controlling passage of the dielectric fluid between the first and the second pouch cells. The barrier thereby facilitates localization of a thermal runaway event in the first pouch cell by minimizing transfer of high temperature gases between the first and the second pouch cells via the dielectric fluid and controls propagation of the thermal runaway event in the module. The battery module further includes an enclosure housing and retaining each of the first and second pouch cells, the dielectric fluid, and the immersion barrier.

Abstract: Rotor for electric machines and methods for fabricating rotors for electric machines are provided. An exemplary method includes assembling a stack of laminations to form a rotor core having an external surface. The rotor core defines one to five layers of internal cavities and an interior permanent magnet is positioned in a selected internal cavity. The method also includes locating a non-magnetic structural element in the selected internal cavity. Further, the method includes applying a compressive force on the external surface of the rotor core with an annular sleeve.

Abstract: A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.

Abstract: A method of assisting deceleration during a stop of a motor vehicle having a drivetrain including a traction motor, a road wheel operatively connected to the drivetrain, a friction brake configured to decelerate the road wheel, and an electronic controller includes detecting, via the electronic controller, a request to stop the vehicle. The method also includes commanding the traction motor to provide regenerative braking in response to the request to stop the vehicle. The method additionally includes determining a current vehicle operating state. The method also includes determining an amount of brake drag torque to be generated by the friction brake based on the current vehicle operating state. The method further includes commanding an application of the determined amount of the brake drag torque in parallel with the regenerative braking, thereby operating the friction brake as a mechanical drivetrain damper while assisting the regenerative braking to stop the motor vehicle.

Abstract: A seat assembly of a vehicle includes a seat cushion, and a plurality of inflatable tubes located in the seat cushion. An inflation apparatus is operably connected to the plurality of inflatable tubes to selectably inflate the plurality of inflatable tubes upon detection of a crash event. A method of operating a seat assembly of a vehicle includes detecting a crash event, and selectably inflating a plurality of inflatable tubes in a seat cushion of the seat assembly in response to detection of the crash event. One or more inflatable tubes may be provided in a seat back, headrest and/or side bolster of the seat assembly to enhance active and passive safety features and to improve occupant comfort. This feature can be extended to a seat backrest, seat bolster and seat headrest to enhance active and passive safety features.

Abstract: The concepts described herein relate to a system, method, and/or apparatus for monitoring a NOx sensor that is arranged in an exhaust gas feedstream of an internal combustion engine downstream of an exhaust aftertreatment system to detect a fault related to the NOx sensor. This includes utilizing a catalyst efficiency model to detect occurrence of a fault that may indicate an in-range biased or stuck NOx sensor.

Abstract: A vehicle control system including a spatial monitoring system includes on-vehicle cameras that capture images, from which are recovered a plurality of three-dimensional points. A left ground plane normal vector is determined for a left image, a center ground plane normal vector is determined for a front image, and a right ground plane normal vector is determined for a right image. A first angle difference between the left ground plane normal vector and the center ground plane normal vector is determined, and a second angle difference between the right ground plane normal vector and the center ground plane normal vector is determined. An uneven ground surface is determined based upon one of the first angle difference or the second angle difference, and an alignment compensation factor for the left camera or the right camera is determined. A bird's eye view image is determined based upon the alignment compensation factor.