Abstract: A method and system where a first subsystem makes observations and performs surveillance using sensors in a mode that conserves a resource such as power, data transmission band width or processing cycles. This is accomplished by reducing illumination, pixel count, sampling rate or other functions that result in a limited granularity or data collection rate. A machine model is applied to the limited data and, when it evaluates to a suitable result or a prediction of an interesting condition, another subsystem or the same subsystem in a different mode collects data at a finer granularity with a higher data collection size or rate and evaluates that data to determine the nature of the first evaluation. The machine model may be trained in stages on a large scale server and on a small field processor. Data from the sensor may be used for training to improve the second step.

Abstract: A method and system where a first subsystem makes observations and performs surveillance using sensors in a mode that conserves a resource such as power, data transmission band width or processing cycles. This is accomplished by reducing illumination, pixel count, sampling rate or other functions that result in a limited granularity or data collection rate. A machine model is applied to the limited data and, when it evaluates to a suitable result or a prediction of an interesting condition, another subsystem or the same subsystem in a different mode collects data at a finer granularity with a higher data collection size or rate and evaluates that data to determine the nature of the first evaluation. The machine model may be trained in stages on a large scale server and on a small field processor. Data from the sensor may be used for training to improve the second step.

Abstract: Disclosed herein is a method for providing pickup and drop-off services to a user at designated locations using an autonomous vehicle.

Abstract: Systems and methods of utilizing badging for driver risk assessment are provided. Vehicle telematics data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data) associated with a vehicle operator may be analyzed. Based on the analysis, a trend of safe operation of the vehicle may be identified (e.g., based on a number of vehicle trips and/or a number of consecutive vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a frequency of vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a comparison to other drivers, etc.) A digital certificate indicating the trend of safe operation of the vehicle may be associated with the vehicle operator. In response to a third-party query regarding the vehicle operator, the digital certificate associated with the vehicle operator may be displayed to the third party.

Abstract: Provided is electrical protection apparatus for operative fitment to a portion of the machinery operable near an electrical conductor and to generate a signal via electromagnetic induction. Also included is a signal isolator configured to electrically isolate the sensor. Also included is a controller arranged in signal communication with the isolator. The controller is configured to monitor the signal and to: i) record a log of movement commands executed by the control system; ii) if the signal reaches a predetermined threshold, override the control system so that the portion of the machinery is only maneuverable to reduce the signal below the predetermined threshold; iii) if the signal exceeds the predetermined threshold, override the control system and execute the most recent movement commands in reverse to automatically manoeuvre the portion of the machinery away from the conductor; and iv) if the signal reaches and/or exceeds the predetermined threshold, activate the indicator.

Abstract: A display apparatus mounted on a vehicle may comprise: a display device that is placed in a vehicle compartment of a vehicle configured to perform a cooperative driving mode in which a manual operation by a driver and an autonomous operation by an autonomous driving function cooperate with each other to control a driving of the vehicle; an acquisition section that is configured to acquire a degree of restriction applied to an autonomous operation torque controlled by the autonomous driving function in the cooperative driving mode in response to set of the degree of restriction according to a manual operation amount input by the driver; and a display control device that causes the display device to display a cooperative ratio of the manual operation and the autonomous operation in the cooperative driving mode based on the degree of restriction.

Abstract: A method for performing automatic maintenance of an autonomous vehicle is disclosed. The method includes receiving a maintenance request from the autonomous vehicle, wherein the maintenance request includes diagnostic data. Further, the method includes analyzing the diagnostic data to identify at least one recommended car service for the autonomous vehicle and comparing a vehicle location against a plurality of facility locations to identify a closest facility from a plurality of maintenance facilities, wherein the plurality of facility locations is associated with the locations of the plurality of maintenance facilities. Further, the method includes receiving a work schedule of the closest facility and generating an appointment reservation with the closest facility in the one or more facility locations based on the received one or more work schedules. Moreover, the method includes sending the appointment reservation to the autonomous vehicle.

Abstract: A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

Abstract: In a case in which a lane change operation is to be performed, a control unit performs travel control in accordance with a lane change mode selected among lane change modes. The lane change modes include a first mode in which the driver plans the lane change operation, and the driver issues an instruction to start the lane change operation, and a second mode in which the control unit plans the lane change operation, and the driver issues the instruction to start the lane change operation. An amount of operation performed by the driver to issue the instruction to the start of the lane change operation in the second mode is less than that in the first mode.

Abstract: A method and system for predicting vehicle wash services for a human-driven or self-driven vehicle. The method determines anticipated routes of travel for the vehicle based on context of a user associated with the vehicle, implements machine learning neural network models for predicting the road conditions in the anticipated routes of travel, and, then, auto-suggests one or more candidate car wash locations and associated Time of Days (to wash the car) while optimizing a user value.

Abstract: The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.

Abstract: The present disclosure relates to an improved vehicle data communications network comprising controllers configured in accordance with a Service-Oriented Architecture, arranged to offer available services as subscription service on the vehicle data communications network. In particular, a controller for an automotive data communications network in a vehicle is disclosed. The controller may be operatively connected in use to a data bus and to a high-speed data communications channel. The data bus may comprise at least one first electronic device connected to it. The controller may comprise a first input, a processor, a second input and an output. The first input may be configured in use to receive a first data message from the data bus, the first data message comprising data associated with at least one first electronic device. The processor may be configured in use to identify at least one service associated with the received first data message.

Abstract: A method and system of diagnosing a vehicle with a vehicle diagnostic system that is configured to scan an electrical system of a vehicle for error codes using a minimally expensive with respect to monetary cost and test duration scanning program. The vehicle diagnostic system is operatively connected with the electrical system of a vehicle via a diagnostic port of the vehicle, with the vehicle diagnostic system determining whether the vehicle is equipped with Advanced Driver Assistance Systems (ADAS) to select an appropriate diagnostic scanning program based thereon.

Abstract: An apparatus for controlling a vehicle includes a processor and a storage storing information determined by the processor. The processor determines whether a vehicle enters a tollgate, in advance based on driving situation information, and determine whether a current driving lane of the vehicle is a high-pass lane or a general lane, when the vehicle is scheduled to enter the tollgate. In particular, to the processor may automatically switch a driving mode depending on whether the current driving lane of the vehicle is the high-pass lane or the general lane to control the vehicle.

Abstract: A method is disclosed for using an autonomous vehicle to teach a student how to drive. The method may include generating, by the autonomous vehicle during a training session, a plan for navigating a section of road. During the training session, the autonomous vehicle may receive control instructions from the student regarding how the student would like to navigate the section of road. If the autonomous vehicle determines that implementing the instructions would be safe and legal, it may implement those instructions. However, if the autonomous vehicle determines that implementing the instructions would not be safe and legal, it may execute the plan. During a training session, an autonomous vehicle may provide on a head-up display to the student certain visual feedback regarding a driving performance of the student.

Abstract: Aspects of the disclosure relate to an autonomous vehicle that may detect other nearby vehicles and designate stationary vehicles as being in one of a short-term stationary state or a long-term stationary state. This determination may be made based on various indicia, including visible indicia displayed by the detected vehicle and traffic control factors relating to the detected vehicle. For example, the autonomous vehicle may identify a detected vehicle as being in a long-term stationary state based on detection of hazard lights being displayed by the detected vehicle, as well as the absence of brake lights being displayed by the detected vehicle. The autonomous vehicle may then base its control strategy on the stationary state of the detected vehicle.

Abstract: Systems, apparatuses, and methods disclosed provide for tailoring response to fault data generated during a service event. The method comprises determining fault data for a vehicle continually, determining that a service event for the vehicle has started, interrupting transmission of fault message during a time period after the service event for the vehicle has started and before the service event for the vehicle has ended, and determining that the service event for the vehicle has ended.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

Abstract: Methods, systems, and apparatus for a confidence enhancement system. The confidence enhancement system includes a navigation unit configured to obtain navigational map information including a current location of the vehicle. The confidence enhancement system includes a sensor configured to obtain sensor data. The confidence enhancement system includes an electronic control unit. The electronic control unit is coupled to the navigation unit and the sensor. The electronic control unit is configured to determine a confidence score. The confidence score is related to safe operation of the autonomous driving of the vehicle based on the current location of the vehicle and the sensor data. The electronic control unit is configured to determine that the confidence score exceeds a confidence threshold and indicate that autonomous driving is safe at the current location.

Abstract: A method and mobile transceiver with adaptive monitoring are provided. In accordance with one embodiment, there is provided a method of operating a mobile transceiver, comprising: waking up the mobile transceiver from a low power mode in response to a wakeup event; determining a waypoint in a travel itinerary corresponding to the wakeup event, the travel itinerary defining a number of waypoints including an origin endpoint and destination endpoint; performing an action associated with the wakeup event; determining a wakeup frequency associated with the determined waypoint; and setting a wakeup frequency of one or more subsequent wakeup events in accordance with the determined wakeup frequency.