Abstract: The purpose of the present invention is to provide a parking assist device for a vehicle such that the vehicle can be parked without decreasing or excessively increasing the speed or causing the vehicle to stop during assisted parking, the speed of the host vehicle is kept constant even immediately after an obstacle or a bump is cleared, and the vehicle is prevented from colliding with any other parked vehicle. The device calculates a speed command value and/or an engine torque command value in consideration of the acceleration/deceleration of the vehicle and controls the speed of the vehicle on the basis of the calculated speed command value and/or the engine torque command value, said acceleration/deceleration being predicted in advance on the basis of the height and distance of an obstacle and/or a bump that is present in a parking path, the gradient of the road surface, and the steering angle.

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Abstract: The present invention relates generally to illuminated display devices and methods of displaying indicia, advertisements, etc. on a changeable illuminated display. The display device comprises a frame structure having an open space. The display device further comprises a compact image display device operable to display an image, the compact image display device held and positioned relative to the frame structure such that the image, when displayed by the compact image display device, is visible through the open space. Additionally, control circuitry is coupled to the compact image display device.

Abstract: System, method, and non-transitory computer-readable storage medium, including: a sensor installed on a section of a road and configured to collect traffic data related to movements of vehicles on the section of the road, wherein the sensor samples the traffic data at a certain interval long enough to substantially reduce the amount of the collected traffic data; a plurality of narrowband network towers configured to relay the collected traffic data received from a plurality of sensors installed on a designated area encompassing multiple sections; and a central server configured to receive and process the collected traffic data from the plurality of narrowband network towers to generate traffic information sufficient to provide accurate real-time traffic information of the designated area.

Abstract: A computational device maintains indications of a plurality of events associated with navigation of a plurality of vehicles in a geographical area. A determination is made as to whether to delete an event from the plurality of events, by performing: transmitting, by an event deletion manager, a query to a plurality of deletion determination agents on whether to delete the event; receiving, by the event deletion manager, an indication from the plurality of deletion determination agents whether to delete the event; and aggregating, by the event deletion manager, indications received from the plurality of deletion determination agents to determine whether to delete the event.

Abstract: A device receives location information and work order information associated with multiple vehicles, and groups the location information into engine off information, idling information, and journey information. The device combines, based on the journey information, the engine off information and the idling information to generate vehicle stop information associated with the plurality of vehicles, and matches corresponding work order information with the vehicle stop information to generate matched information. The device extracts stop-wise features, points of interest features, stop cluster features, and sequential features from the vehicle stop information, and utilizes the stop-wise features, the points of interest features, the stop cluster features, and the sequential features with a model to determine work order stops and non-work order stops for the multiple vehicles. The device provides information associated with the work order stops and the non-work order stops for the multiple vehicles.

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Abstract: A method for monitoring vehicle usage is described. In one embodiment, the method includes detecting a vehicle event and detecting a query from a mobile device. The query includes a Wi-Fi probe request or Bluetooth inquiry. The method includes identifying a mobile device identifier from the query and associating the mobile device identifier with the vehicle event.

Abstract: According to an embodiment, a vehicle control system includes: a determination unit determining a schedule of a running locus and speed control of a subject vehicle; a running control unit automatically performing at least speed control of the subject vehicle on the basis of the schedule determined by the determination unit; and an interface control unit causing a display unit to display information representing a position or a section at which the subject vehicle accelerates or decelerates in the speed control in association with information representing the running locus on the basis of the schedule determined by the determination unit.

Abstract: In accordance with one disclosed method, a first computing system may receive a message from an application hosted on a second computing system, the message being indicative of an event of the application. In response to receiving the message, the first computing system may generate a notification indicative of the event and send the generated notification to a client device. The first computing system may receive a response to the notification from the client device, and may process the response so as to cause the application to take an action responsive to the event.

Abstract: An intelligent wearable device, and a work assistance method and system based thereon. The intelligent wearable device comprises: a control unit (11) for controlling the intelligent wearable device; a display unit (12) for displaying information for assisting working; a storage unit (13) for storing various pieces of data information during a working process; and a positioning and tracking unit (14) for respectively positioning and tracking an operator and an operation object, and notifying the operator of the positioned and tracked information.

Abstract: Systems and methods for recovering an autonomous vehicle in a fleet of vehicles are provided. In one example embodiment, a computer-implemented method includes detecting an existence of an adverse condition associated with an autonomous vehicle in the fleet. The method includes determining in response to detecting the adverse condition, a recovery plan for the first autonomous vehicle based at least in part on one or more attributes associated with the adverse condition, the recovery plan including one or more actions to recover the first autonomous vehicle at a remote location. The method includes initiating the recovery plan to recover the first autonomous vehicle at the remote location.

Abstract: A method for operating an autonomous ground vehicle may include: via one or more processors, determining an occupation state of the autonomous ground vehicle; if the occupation state is unoccupied, autonomously initiating a testing routine, the testing routine comprising: determining a test location, determining a safety parameter of the test location; if the safety parameter fulfils a safety criterion, testing an autonomous driving system of the autonomous ground vehicle in the test location.

Abstract: Disclosed herein are a system, method, and computer-readable medium with instructions for recommending a service provider based on a user's approximate current location. The service provider may be recommended for a service that is verified under a user's insurance policy and is also within proximity to the user's approximate current location. The user's approximate current location may be determined by location-based technology. The entity that receives and/or recommends the service provider may initiate a request for the service from the service provider. Further embodiments are related to routing a call to provide information to the user that is responsive to the user's location-relevant request. For example, systems, such as an automotive telematics system, may request information and be routed to the appropriate division of a user's insurance provider such that the automotive telematics system can provide services to the user that are user-specific (e.g., covered by the user's insurance policy).

Abstract: A microcomputer includes an abnormality monitor unit, a rotation angle calculation unit and a current supply control unit. The abnormality monitor unit monitors an abnormality of the rotation angle sensor. The rotation angle calculation unit calculates an electrical angle based on angle information acquired from the rotation angle sensor and an abnormality state of the rotation angle sensor. The current supply control unit controls current supply to the winding sets based on the electrical angle. When an abnormality is detected in one of the sensor units, the rotation angle calculation unit calculates the electrical angle based on a hold value which is the electrical angle before the detection of abnormality during a period from the detection of abnormality to a final determination of the abnormality. When the abnormality of the sensor unit is finalized, the electrical angle is calculated based on the angle information of the other sensor unit which is normal.

Abstract: A device receives user interface information associated with a user interface to be provided for a particular platform, and receives design information for a design of the user interface to be provided for the particular platform. The device receives a request to visually compare the user interface information and the design information, and utilizes, based on the request, a trained machine learning model to visually compare the user interface information and the design information. The device generates information, indicating defects in the user interface information, based on utilizing the trained machine learning model to visually compare the user interface information and the design information, where the defects include user interface information that does not visually match the design information. The device provides the information indicating the defects in the user interface information.

Abstract: An example method includes receiving a first service procedure including a plurality of procedural steps for servicing a vehicle, identifying at least one procedural step of the plurality of procedural steps to supplement with supplemental service information, receiving information about vehicles sharing one or more attributes with the vehicle, determining at least one piece of supplemental service information to supplement the at least one identified procedural step, and providing a supplemented service procedure comprising the first service procedure with the at least one piece of supplemental service information included with the at least one identified procedural step.

Abstract: A position information providing apparatus includes: a posting information acquisition part that acquires, from a social media service, posting information having a posting date and time and a posted text that has been posted by a user and that includes a word related to a behavior; a vehicle information acquisition part that acquires vehicle information, including travel history information, based on a vehicle ID associated with a user ID of the acquired posting information; and a position information providing part that provides the posting information with position information related to a posting, based on the acquired posting information and travel history information.

Abstract: Provided is a relay apparatus configured to transfer an update program, which is downloaded from a server, for a control program of an on-vehicle control device to the on-vehicle control device. The relay apparatus includes: a calculation unit configured to calculate an index value indicating a proportion between a size of the control program and a size of the update program; and a transfer control unit configured to determine whether or not to permit the transfer, on the basis of the calculated index value.

Abstract: An anti-theft system for a working machine, includes a communication device disposed on the working machine, the communication device having a first communicator, a mobile terminal having a storage to store authentication information, and a second communicator, and a control device disposed on the working machine, the control device having an authentication processor to execute an authentication processing that determines whether to provide a permission of driving a driving portion of the working machine based on the authentication information. The first communicator sends a beacon to the mobile terminal before the authentication processing of the authentication processor is executed. The second communicator sends the authentication information to the communication device after receiving the beacon, the authentication information being stored by the storage.

Abstract: A vehicle service system for interaction with the on-board electronic systems of a vehicle utilizing a cloud-based vehicle diagnostic system which is configured on-demand for the vehicle undergoing a service procedure. The vehicle service system includes a local processing system in communication with the vehicle and with a cloud-based vehicle diagnostic application service configured to establish an on-demand virtual processing system running a vehicle-specific diagnostic software application. The vehicle-specific diagnostic software application communicates with the vehicle undergoing service to present a service technician with diagnostic results within a graphical user interface of the local processing system. Upon completion of the vehicle service, the remote cloud-based vehicle diagnostic application service terminates the virtual processing system and vehicle-specific diagnostic software application, freeing cloud-based resources for subsequent uses.

Abstract: A method and apparatus in a vehicular telemetry system for determining accelerometer thresholds based upon decoding a vehicle identification number (VIN).

Abstract: Computing systems for vehicle diagnostics are provided. In accordance with some aspects, a computing system may include a vehicle having a plurality of sensors for monitoring an operation of one or more vehicle systems. The system may also include a computing device configured to receive, from a vehicle (e.g., from the plurality of sensors monitoring the operation of one or more vehicle systems via a communication interface), at least one signal corresponding to a status of a vehicle component. The computing system may predict, based on the at least one signal, when an issue with the vehicle is likely to occur and may determine, based on the issue, a remedial action for addressing the issue and a timeframe for performing the remedial action. The computing system may store data identifying the issue, the remedial action, and the timeframe in a record associated with the vehicle.

Abstract: A system and method are provided for adaptively accessing information in a vehicle under test, in a manner to avoid malfunctions associated with accessing the information. A data acquisition device is provided for accessing and retrieving diagnostic data from the vehicle. A memory unit is provided including listing of malfunctioning vehicles, as well as information associated with each of vehicle. At least one service mode request is communicated to the vehicle to identify characteristic information and characteristic features of the vehicle, which information is compared to stored vehicle characteristic information, to determine if the vehicle conforms to any of the listed vehicles, subject to malfunction. If not, additional service requests are communicated to the vehicle. If the vehicle conforms to one or more of the listed vehicles additional service request(s) are modified to remove service requests, or portions thereof, that are associated with the malfunction.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for monitoring vehicle components and providing indications towards the condition of the vehicle components and providing optimal indications towards replacement or maintenance of vehicle components before vehicle component failure.

Abstract: A data processing device for processing telemetry data obtains sampled data based on output data from a plurality of sensors associated with a vehicle. The data processing device generates first and second sets of sampled values using the sampled data. The first set of sampled values are associated with a first sampling time and the second set of sampled values are associated with a second, subsequent sampling time. The data processing device derives a set of data elements, a data element being indicative of a measure of a change between a sampled value in the first set and a corresponding sampled value in the second set, a position of a given data element in the set of data elements having been determined based on at least one mapping rule. The data processing device encodes the set of data elements and outputs data comprising at least the encoded set of data elements for transmission to a remote data processing unit.

Abstract: Systems and methods for an automotive security gateway include an in-gateway security system that monitors local host behaviors in vehicle devices to identify anomalous local host behaviors using a blueprint model trained to recognize secure local host behaviors. An out-of-gateway security system monitors network traffic across remote hosts, local devices, hotspot network, and in-car network to identify anomalous behaviors using deep packet inspection to inspect packets of the network. A threat mitigation system issues threat mitigation instructions corresponding to the identified anomalous local host behaviors and the anomalous remote host behaviors to secure the vehicle devices by removing the identified anomalous local host behaviors and the anomalous remote host behaviors. Automotive security gateway services and vehicle electronic control units operate the vehicle devices according to the threat mitigation instructions.

Abstract: A disclosed security system can identify security threats such as terrorists, criminals or persons-of-interest visiting public venues such as airports, stadiums, hospitals, embassies, convention centers or arenas. The security system may integrate a wireless device tracking system, a server system, and a camera system. The wireless device tracking system may track and locate wireless device carried by a person or carried in a car as the person is visiting a venue. The camera system may include facial recognition technology to identify persons listed on a law enforcement watch list. The camera system may also include thermal imaging capabilities to identify whether a person is carrying a weapon. The information obtained from the wireless device tracking system and the camera systems can be processed by the server system to identify suspected threats in proximity to the venue.

Abstract: An onboard system includes two control parts. Each of the two control parts has the function of performing a first process for controlling the travel of the transport vehicle. In a period during which a first control part being one control part out of the two control parts is performing the first process, a second control part being other control part out of the two control parts does not perform the first process. In the period during which the first control part is performing the first process, the second control part performs a maintenance process for performing maintenance of the transport vehicle.

Abstract: Techniques for using dynamic comparison groups to assess driving safety are provided. Customizable comparison groups of vehicle operator's may be created based upon specific parameters. Drivers belonging to each specific comparison group may be ranked among one another based upon a comparison of telematics data that is associated with each vehicle, which may indicate various metrics associated with each driver's driving safety. By providing each driver's ranking within comparison groups, a gamified interface and user interaction is achieved, which promotes competition and acts as an incentive for the drivers to drive safer and avoid risk. Additional incentives may be provided in the form of automobile insurance premium discounts and recommendations for improving the driver's ranking.

Abstract: Systems and methods provide for enabling an autonomous vehicle to automatically and dynamically monitor and maintain itself. The autonomous vehicle can analyze diagnostic data captured by one or more of its sensors. Based on the analysis of the diagnostic data, the autonomous vehicle can determine that it needs maintenance and, based on that determination, send the analysis of the diagnostic data to a routing service. The autonomous vehicle can receive instruction from the routing service to dynamically route the autonomous vehicle in accordance with a maintenance action.

Abstract: Automated inspections of aerial vehicles may be performed using imaging devices, microphones or other sensors. Between phases of operation, the aerial vehicle may be instructed to perform a plurality of testing evolutions, e.g., in a sequence, at a testing facility, and data may be captured during the evolutions by sensors provided on the aerial vehicle and by ground-based sensors at the testing facility. The imaging and acoustic data may be processed to determine whether any vibrations or radiated noises during the evolutions are consistent with faults or discrepancies of the aerial vehicle such as microfractures, corrosions or fatigue. If no faults or discrepancies are detected, the aerial vehicle may be returned to service without delay. If any faults or discrepancies are detected, however, then the aerial vehicle may be subjected to maintenance, repairs or further manual or visual inspections.

Abstract: A method for assessing tyre tread depth and/or tyre condition by taking and analysing a camera image or images of a tyre using portable instrumentation.

Abstract: An approach is provided for feature triangulation from images. The approach includes retrieving the plurality of images, wherein the plurality of images is captured by a sensor of a vehicle during a drive; determining a vehicle trajectory of the vehicle during the drive; selecting a first image and a second image from the plurality of images, wherein the first image and second image are arranged in reverse time order based on respective image capture times determined using the vehicle trajectory; after detecting the feature in the first image, processing the second image to detect the feature and to associate the feature as detected in the second image with the feature previously detected in the first image; and processing the detected feature in the first image and the second image to triangulate the location of the feature.

Abstract: Embodiments of a method and a cloud-assisted fueling system for one-touch fueling authorization are disclosed.

Abstract: Methods and systems are provided for an evaporative emissions system diagnostic. In one example, a method may include adjusting a controller operation in response to a fuel tank volume. A vehicle may determine sunrise and sunset times via a wireless modem and may relay the sunrise and sunset times to other vehicles within a threshold distance.

Abstract: Methods, computer-readable media, software, and apparatuses provide a tool for use by drivers and/or coaches throughout the pre-license stage of obtaining a driver's license. A pre-license program may control a computing device to collect drive data while a driver is driving a vehicle. This drive data may be used to detect a drive event. Then, the computing device may present coaching information associated with the detected drive event. The coaching information may provide a passenger, such as a coach or parent, with real-time advice for instructing the driver how to improve his/her driving skills. Moreover, the drive data collected may be used to prepare reports providing feedback to the drivers and coaches. Further, the pre-license program may determine an expected track for a driver to follow to prepare for a driver's license test and may indicate whether the driver is on or off the track.

Abstract: A trailer angle detection system for a vehicle towing a trailer includes a camera disposed at a rear portion of a vehicle so as to have a field of view exterior and rearward of the vehicle, and an image processor operable to process image data captured by the camera. Responsive to processing of a region of interest of image data captured by the camera, the trailer angle detection system determines the location of a known patterned target at the trailer being towed by the vehicle. Responsive to determination of the location of the target, the system determines a region of interest of the captured image data that encompasses the target. Responsive to processing of image data of the region of interest and determining the location of the target relative to the vehicle centerline, the trailer angle detection system calculates an angle of the trailer relative to the vehicle centerline.

Abstract: A vehicle, and a method of controlling a vehicle, is capable of selecting a wheel speed that is most appropriate to obtain a speed of the vehicle from among wheel speeds of the vehicle to obtain an accurate speed of the vehicle. The vehicle includes a sensor configured to obtain wheel speed information of at least one wheel. The vehicle also includes a controller configured to select wheel speed information from among the wheel speed information of the at least one wheel based on a driving state of the vehicle and configured to determine a speed of the vehicle based on the selected wheel speed information.

Abstract: A vehicle monitoring system includes at least one sensor in the vehicle. A processor receiving information from the at least one sensor, the processor programmed to automatically identify a driver of the vehicle based upon the information from the at least one sensor.

Abstract: This disclosure relates generally to vehicle diagnostics, and more particularly to systems and methods for vehicle tracking and service prediction. In one embodiment, a processor-implemented vehicle tracking and prediction method is disclosed. The method includes sending an electronic signal to activate in-vehicle data collection by an on-board data aggregator disposed in communication with each of an on-board vehicle computer, via an on-board diagnostic port, and one or more user devices. The method further includes receiving aggregated in-vehicle data from the on-board data aggregator, predicting a future vehicle service event based on the aggregated data, and generating a vehicle valuation metric based on the aggregated data. The method further includes sending a notification to at least one of the on-board vehicle computer and the one or more user devices, where the notification is based on the predicted future vehicle service event and the generated vehicle valuation metric.

Abstract: A launch control system launches a vehicle from a slowed speed or stopped condition, to an accelerated speed. The system is activated by operating a switch while the vehicle is stopped. An acceleration pedal is depressed while an up shifter paddle and down shifter paddle are being held in a shifting position. The system launches the vehicle when the up shifter paddle and the down shifter paddle are simultaneously moved to a non-shifting position. The system automatically switches gears during the launch so as to increase the speed of the vehicle. The system is activated until the speed of the vehicle reaches a speed associated with the amount the accelerated pedal is depressed. The system may further inhibit yaw rotation of the vehicle during launch by moderating a rotation rate of the vehicle engine.

Abstract: A device includes a first energy storage terminal, a second energy storage terminal, a further terminal, a shared magnetic flux guide, a first coupling mechanism, a second coupling mechanism as well as a further coupling mechanism, for supplying energy to a plurality of energy storage components and for providing energy stored within the energy storage components.

Abstract: A method and system provide for entering text into a text field by determining complete-text terms, displaying the complete-text terms, and receiving a selection of a complete-text term as text to be entered into the text field. In some cases, a complete-text term can include all prior text entries used to determine the complete-text terms. In other cases, a complete-text term can include only a portion or none of the prior text entries used to determine the complete-text term. The determination of the complete-text terms can be based on a vehicle identifier. The determination of the complete-text terms can be based on one or more complete-text term selection-limiters, such a location, use, or diagnostic trouble code associated with the vehicle. The system can include a vehicle service tool that requests a set of complete-text terms and receives the set from a complete-text term storage device or an off-board processor.

Abstract: Embodiments of the present application disclose driving state monitoring methods and apparatuses, driver monitoring systems, and vehicles. The driving state monitoring method includes: performing driver state detection on a driver image; and performing at least one of: outputting a driving state monitoring result of a driver or performing intelligent driving control based on a result of the driver state detection. The embodiments of the present application can implement real-time monitoring of the driving state of a driver, so as to take corresponding measures in time when the driving state of the driver is poor, to ensure safe driving and avoid road traffic accidents.

Abstract: A system includes a processor configured to receive a vehicle event and determine a wireless device present connection state relative to a vehicle infotainment system. The processor is further configured to communicate with a remote server through a vehicle modem, including transmission of the wireless device present connection state, based on the occurrence of the vehicle event. The processor may also be configured to request that the remote server instruct a wireless device to pair with a vehicle infotainment system if the wireless device present connection state indicates the wireless device is not presently paired.

Abstract: An electronic control unit (ECU) is disposed in a vehicle, and includes an input section and a controller. The input section inputs vehicle data from vehicle sensors and actuator to the controller. The controller includes a priority setter and a transmission data generator. The transmission data generator transmits transmission object data, which is data for transmission to an external device and generated from the vehicle data. The priority setter sets priority of the transmission object data based on priority setting data, which is data included in the vehicle data. The transmission data generator performs an adjustment process for adjusting an amount of transmission data based on the priority. The ECU provides an efficient transmission of data by limiting and/or preventing an increase in the amount of transmission data.

Abstract: A fluidic subsystem disposed on a vehicle includes an electric motor, a motor driver, and a fluidic pump that is disposed in a fluidic circuit that is monitored by a pressure sensor. A controller includes an instruction set that is executable to dynamically observe operation of the fluidic subsystem, from which it determines a plurality of observed parameters associated with the operation of the fluidic subsystem and a plurality of estimated parameters associated with the fluidic subsystem. A plurality of fault isolation parameters are determined based upon the observed parameters and the estimated parameters, and a fault in the fluidic subsystem is isolated based upon the fault isolation parameters. The isolated fault is communicated via the controller.

Abstract: Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.