Abstract: A vehicle-mounted update apparatus obtains update information and an update program transmitted from an outer-vehicle external server, and processes updating a program of a vehicle-mounted ECU. The vehicle-mounted update apparatus includes a control unit communicably connected to the vehicle-mounted ECU and controlling transmission of the update program to the vehicle-mounted ECU. The control unit determines, based on the update information, a transmission order for which the update programs are to be transmitted to the vehicle-mounted ECU, transmits the update program corresponding to a single update of the plurality of updates to the vehicle-mounted ECU, based on the determined transmission order, determines success or failure of the single update of the vehicle-mounted ECU, and transmits the update program next in the transmission order to the update program corresponding to the single update to the vehicle-mounted ECU, if the single update is determined as having succeeded.

Abstract: The present invention relates to an operation device which can be easily installed on a vehicle door, and a vehicle door comprising the operation device. An operation device of the present invention comprises: a gripper provided on an inner surface of a door of a vehicle; an operation interface provided on an inner side surface of the gripper for receiving an operation input entered by an occupant to operate at least one in-vehicle device; a first sensor provided on an outer side surface of the gripper for detecting a finger of the occupant; a second sensor provided on at least one of the inner side surface and an upper surface of the gripper for detecting a finger of the occupant; and a controller connected to the operation interface, the first sensor, the second sensor, and the at least one in-vehicle device.

Abstract: An object sensor test system includes a sensor and a test bench. The sensor includes a receiver configured to receive a simulated optical signal and a processing chain that includes a plurality of processing components configured to process at least one measurement signal generated in response to the simulated optical signal to generate processed test data. The sensor also includes a test interface configured to receive a control signal, and selectively extract processed test data at a selected output of the processing chain based on the control signal. The test bench is configured to transmit the control signal to the test interface, receive the processed test data from the sensor, compare the received processed test data with expected data to generate a comparison result, and determine that a segment of the processing chain is operating normally or abnormally based on the comparison result.

Abstract: A braking system includes a brake stack; a first brake cavity operably coupled to the brake stack, the first brake cavity including a first plurality of brake actuators; a second brake cavity operably coupled to the brake stack, the second brake cavity including a second plurality of brake actuators; and a brake control module, the brake control module being configured to activate either the first plurality of brake actuators or both the first plurality of brake actuators and the second plurality of brake actuators in response to an input brake load.

Abstract: A control system for a vehicle includes a time sensitive network switch and one or more processors. The time sensitive network switch is configured to receive sensor data from light detection and ranging (LIDAR) sensors, radio detection and ranging (RADAR) sensors, or image sensors. The sensor data is representative of estimated objects that are in an external environment of the autonomous vehicle. The one or more processors are configured to receive the sensor data and determine instructions to control movement of the autonomous vehicle at least partially based on the sensor data from the time sensitive network switch and at least partially based on map data.

Abstract: A system and method for detecting behavioral anomalies among a fleet including a plurality of connected vehicles. The method includes generating at least one fleet behavioral profile for the fleet using a first set of data, wherein creating each fleet behavioral profile includes training a machine learning model using at least a portion of the first set of data, wherein the at least a portion of the first set of data relates to communications with and among the plurality of connected vehicles; applying the at least one fleet behavioral profile to detect at least one anomaly in a second set of data for the fleet wherein the second set of data includes data related to communications with and among the plurality of connected vehicles; and performing at least one mitigation action when the at least one anomaly is detected.

Abstract: Techniques for monitoring and predicting vehicle health are disclosed. In some examples, sensor data (e.g., audio data) may be used to create a sensor signature associated with a vehicle component. The sensor signature may be compared with one or more second sensor signatures associated with the vehicle component over the life of the vehicle component to determine changes in an operating status associated with the vehicle component. In some examples, a machine learned model may be trained to identify a vehicle component and/or and operating status of a vehicle component based on sensor data that is inputted into the machine learned model. In this way, sensor data may be input into the machine learned model and the machine learned model may output a corresponding vehicle component and/or operating status associated with the component.

Abstract: A storage battery monitoring apparatus includes: monitoring units attached to storage batteries connected in series and/or in parallel; and a management unit capable of wireless communication connection with the monitoring units. By using identification information of a specific monitoring unit included in a message broadcasted from the management unit to the monitoring units, communication between the management unit and the specific monitoring unit is established.

Abstract: Systems and methods for determining whether a vehicle is driving in an unsafe or unsatisfactory manner are disclosed. In some implementations, a system may determine one or more driving scores for a vehicle based on observations of a driving behavior of the vehicle during a time period. The system may generate an indication of unsatisfactory driving based on at least one of the one or more driving scores exceeding a threshold value. The system may provide the indication of unsatisfactory driving to one or more entities. In some aspects, the system may identify one or more dangerous driving attributes exhibited by the vehicle during the time period based on the observations received from the one or more devices. The system may also generate the indication of unsatisfactory driving based at least in part on the identified dangerous driving attributes.

Abstract: A computer-implemented system and method for providing alerts in an online learning environment is provided. An electronic gradebook is maintained for a teacher of an online learning environment and includes education related data for each student of the teacher. An event in the online learning environment is identified based on receipt of further education related data for one of the students of the teacher for entry into the electronic gradebook. Automatically upon receipt into the electronic gradebook, an alert is generated for the event by identifying a type of the further education related data received and selecting a template for the alert based on the type of the further education related data. The template is filled with the further education related data and recipients of the alert that are associated with the student are identified. The alert is delivered to the identified recipients.

Abstract: Systems and methods for testing a machine learning algorithm or technique of an autonomous driving feature of a vehicle utilize a sensor system configured to capture input data representative of an environment external to the vehicle and a controller configured to receive the input data from the sensor system and perform a testing procedure for the autonomous driving feature that includes inserting known input data into a target portion of the input data to obtain modified input data, processing the modified input data according to the autonomous driving feature to obtain output data, and determining an accuracy of the autonomous driving features based on a comparison between the output data and the known input data.

Abstract: Methods and systems for processing trip-based insurance policies for vehicles. According to aspects, a trip-based insurance policy of a vehicle specifies an amount of trip units for insured vehicle travel and has an associated policy term. In certain cases, a customer may exhaust trip units before an expiration of the policy term. The methods and systems therefore enable the purchase of additional trip units so that the customer remains insured. In other cases, upon expiration of the policy term, an insurance provider may calculate an amount of unused trip units. The insurance provider may determine one or more types of credit that are based on the amount of unused trip units. The insurance provider may also apply the one or more types of credit to an account of the customer.

Abstract: A brake system (BS) includes first/second electric-power-supply-units (EPSU), and an electronic-brake-control-unit (EBCU) connected to the first EPSU. The BS includes a first axle-pressure-modulator (APM) for service-brake-chambers for a first vehicle-axle (VA). The first APM is connected to the EBCU. The BS includes a second APM for spring-brake-cylinders for a second VA. The second APM is connected to the EBCU. The BS includes a redundant-brake-pedal-sensor (BPS) connected to the EBCU. The BS includes first/second pressure-modulators (PM), which are connected to the second EPSU and redundant BPS. The first/second PMs are respectively fluidically connected to the first/second APMs. The redundant-BPS issues a first control-signal (CS) for the EBCU and a second CS for controlling the first/second PMs. The first PM commands pneumatic-control-pressure for the first APM depending on the second CS from the redundant-BPS.

Abstract: There is provided a method comprising: determining an occupancy status of a first region of a vehicle; determining, based at least in part on the occupancy status, a first climate control setting for the first region; controlling a climate control system of the vehicle to adjust a climate of the first region according to the first climate control setting; determining that a second region of the vehicle is unoccupied, wherein the second region is fluidly connected to the first region; determining a second climate control setting, wherein the second climate control setting is based at least in part on the occupancy status of the first region and characteristic data associated with a predicted potential change in occupancy status for the second region; and controlling the climate control system to adjust a climate of the second region according to the second climate control setting.

Abstract: A method for controlling an apparatus for a first vehicle includes: receiving first positional information including a current position of the first vehicle, a traveling direction of the first vehicle, and a traveling speed of the first vehicle; receiving second positional information including a current position of a second vehicle, a traveling direction of the second vehicle, and a traveling speed of the second vehicle; estimating a future position of the first vehicle on the basis of the first positional information; estimating a future position of the second vehicle on the basis of the second positional information; determining whether a distance between the future position of the first vehicle and the future position of the second vehicle is shorter than a threshold value, and notifying a driver of the first vehicle of a result of the determination when the distance is shorter than the threshold value.

Abstract: A system for guiding a driver to an ideal driving pattern in order to eliminate dependency on the driver's driving pattern in a fault diagnosis of an automobile part based on automobile running data, even if the driver's driving pattern is far from the ideal driving pattern. The system comprises a fault diagnosis support device equipped with: a diagnosis model selector for outputting a diagnosis model in which, for a feature value used for an examination of an automobile part, an available range available for making a diagnosis and a reference point are stipulated; a driver model generator generating, as a representative point of the feature value that corresponds to a driver's driving pattern; and a recommendation model generator generating, if the representative point is outside the available range, a recommendation model in which a boundary of the available range is set as a recommendation point.

Abstract: An image of a work attachment (operation mechanism) of a work machine and the periphery of the work attachment, which corresponds to captured image data acquired by an imaging device, is displayed on an image output device by means of a first communication mode established between a slave control device mounted in the work machine and a master control device. When the first communication mode is interrupted, instead of the image of the operation mechanism of the work machine and the periphery of the operation mechanism, a point cloud image corresponding to distance image data acquired by a distance sensor is displayed on the image output device by means of a second communication mode established between the slave control device and the master control device.

Abstract: The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.

Abstract: A method of determining variable trip setpoints at the time of performing a safety analysis on a plant protection system includes: selecting a fixed analysis setpoint including a first analysis setpoint at which safety functions are initiated according to process variables of a power plant, and a first reaching time representing a time required to reach the first analysis setpoint; deriving a variable analysis setpoint satisfying conditions of the first fixed analysis setpoint; and determining a variable trip setpoint by reflecting uncertainty of an instrumentation and control system in relation to the variable analysis setpoint.

Abstract: In an approach to assessing safety of a vehicle based on usage context, one or more computer processors receive a planned usage of a vehicle from a user. Based on the received planned usage, one or more computer processors determine a set of preferred vehicle characteristics. One or more computer processors retrieve a maintenance record and a usage history of a first vehicle. Based on the maintenance record and the usage history, one or more computer processors determine one or more vehicle characteristics of the first vehicle. Based on the set of preferred characteristics and the one or more vehicle characteristics of the first vehicle, one or more computer processors calculate a usage match score. One or more computer processors generate a risk assessment report.

Abstract: The present disclosure relates to a problem management method for a user system. A method may include detecting an error in the user system. A signed package may be provided in accordance with the detected error, wherein the package comprises at least a script. The user system may verify the authenticity of the package using a signature of the package, and may execute the script if the package is authentic.

Abstract: A control system for a vehicle may include one or more processors configured to execute instructions to receive, by one or more modules of the vehicle control system, a request to pair an accessory with the vehicle and determine, by the one or more modules of the vehicle control system, whether the accessory is preconfigured for pairing with the vehicle. In response to determining that the accessory is preconfigured for pairing with the vehicle, the one or more processors are configured to execute instructions to pair, by the one or more modules of the vehicle control system, the accessory with the vehicle and cause, by the one or more modules of the vehicle control system, a display of the vehicle to display a user interface customized for the accessory as paired with the vehicle.

Abstract: Control methods and systems including a smart vehicle, a smart mobile device including a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use a software application tool of the smart mobile device to automatically control and monitor functionality of an internet of things (IOT) environment of the smart vehicle and to identify the smart vehicle type; autopopulate the software application tool with dynamic checklists based on the smart vehicle details; and utilize and/or modify the dynamic checklists during vehicle preparation, travel, and/or servicing based on dynamic IOT control features.

Abstract: Reckless behavior of drivers like, speeding, sudden acceleration and swerving through lanes can cause fatality and financial loss. Conventional methods mainly focus on driving style classification. The conventional methods mainly focus on driver classification and are not able to provide trip classification of a driver. Hence there is a challenge in trip classification of the driver based on acceleration data. The present disclosure for trip classification addresses the problem of end to end trip classification based on the acceleration data. Here, a journey is segmented into a plurality of sub-journey segments and each sub-journey segment is associated with a plurality of driving events. An event score is calculated for each sub-journey and a normalization is performed on the event score. Further, the journey is classified into at least one of good, average or bad based on the normalized data by utilizing a fuzzy based classification.

Abstract: Systems and methods for identifying anomalous driving behavior for a vehicle based on past driving behavior are disclosed herein. The method may include receiving a set of time-series driving data for the vehicle, wherein the set of time-series driving data is indicative of a set of operating conditions for the vehicle. Performing machine learning operations on the set of time-series driving data. Identifying a set of anomalous conditions in the time-series driving data based on a result set produced by the machine learning operations, wherein the set of anomalous conditions are indicative of an anomalous vehicle behavior. Comparing the set of anomalous conditions to a set of historical time-series driving data for the vehicle. Generating a vehicle feedback based on the time-series driving data and the comparison of the set of anomalous conditions to the set of historical time-series driving data.

Abstract: Methods and systems for processing trip-based insurance policies for vehicles. According to aspects, a trip-based insurance policy of a vehicle specifies an amount of trip units for insured vehicle travel and has an associated policy term. In certain cases, a customer may exhaust trip units before an expiration of the policy term. The methods and systems therefore enable the purchase of additional trip units so that the customer remains insured. In other cases, upon expiration of the policy term, an insurance provider may calculate an amount of unused trip units. The insurance provider may determine one or more types of credit that are based on the amount of unused trip units. The insurance provider may also apply the one or more types of credit to an account of the customer.

Abstract: A system and method to verify that the driver or operator of a vehicle or piece of equipment has completed a 360-degree walk-around inspection of the vehicle/equipment. The vehicle/equipment will be equipped with an electronic beacon that detects the direction of the driver/operator via a mobile electronic device that the driver/operator carries. As the operator walks around the vehicle/equipment, the electronic beacon installed on the vehicle/equipment recognizes the location of the mobile electronic device as the driver/operator walks around the vehicle/equipment performing their inspection. In certain embodiments, the electronic beacon and mobile electronic device determine the operator's inspection are Angle of Arrival and Angle of Departure relative to each electronic beacon. The determination may require different combinations of transmitters and receivers.

Abstract: A target system is coupled to a diagnosis engine that uses a lumped parameter model of the system for diagnosis. A proximity search in is performed in a computer-aided design model of the system to find groups of components that may be affected by resistive or parasitic interactions between the individual components in the groups. The lumped parameter model is augmented by adding elements that emulate the resistive or parasitic interactions between the individual components in the groups. The augmented lumped model is used by the diagnosis engine to perform diagnosis on the system.

Abstract: A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

Abstract: A vehicle, hitch, and articulating trailer include vehicle to vehicle and infrastructure communications and vehicle computing systems, which have a controller coupled to and/or including one or more of a dynamics measurement unit, a transceiver, and a position sensor, among other components. The controller(s) are configured to, in response to detecting positions of trailer corners from the position sensor, generate vehicle and trailer relative orientation and navigation data including location, velocity, and orientation, utilizing vehicle and trailer electronic polyhedrons articulating about a hitch point and representing the combination vehicle and trailer predicted path and envelopes. In response to detected trailer movement relative to the hitch point, the generated articulated polyhedrons are generated with the navigation data, which includes the location, speed, and orientation, which are in turn communicated to nearby vehicles and roadway infrastructure.

Abstract: A method and system for remote vehicle diagnostics are provided. The method is applicable to a remote vehicle diagnostic system including a vehicle diagnostic terminal and a vehicle connector. A remote communication connection between the vehicle diagnostic terminal and the vehicle connector is established via a preset programming interface. The vehicle diagnostic terminal receives diagnostic instruction data of a diagnostic application. The vehicle diagnostic terminal transmits the diagnostic instruction data to the vehicle connector via the preset programming interface by way of the remote communication. The vehicle connector converts the diagnostic instruction data into first data in a first data format, and performs a diagnostic operation corresponding to the first data, where the first data format is readable by a vehicle.

Abstract: An inspection system for a vehicle underbody in an in-line process includes: a vehicle recognition unit for acquiring a vehicle ID by recognizing a vehicle entering an inspection process; a vision system that photographs the vehicle underbody through a plurality of cameras disposed under a vehicle moving direction (Y-axis) and disposed at vertical and diagonal angles along a width direction (X-axis) of the vehicle; and an inspection server that detects assembly defects of a component by performing at least one of a first vision inspection that matches an object image for each component through a rule-based algorithm or a secondary deep-learning inspection through a deep-learning engine by acquiring a vehicle underbody image photographed by operating the vision system with setting information suitable for a vehicle type and a specification according to the vehicle ID.

Abstract: A method for operating a brake system of a vehicle in a maintenance mode and in a normal mode includes providing a brake pressure in the brake system in the normal mode using a brake pressure generator. The method further includes preventing a provision of a brake pressure by the brake pressure generator in the maintenance mode.

Abstract: A failure cause analyzing system utilizes numerical data of vehicle equipment during vehicle operation and analyzes the equipment numerical data included in running data of the vehicle to select a failure inducible factor, thereby extracting the numerical data of each equipment from the running data of the vehicle even if a failure symptom does not persist and occurs intermittently, and analyzes the equipment numerical data to select the failure inducible factor, so as to reduce the time and the cost necessary for inspecting and repairing the vehicle equipment upon the occurrence of the failure symptom, and to avoid improper or excessive maintenance.

Abstract: One or more techniques and/or systems are disclosed for proving operation of a vehicle towing an implement. A hitch assembly can be used to adjust or distribute a vertical downward force that an attached implement applies to the frame of a vehicle towing the implement. A sensor assembly can identify the torque that is being applied to the front and rear axles. The torque data can be used to generate adjustments to the vertical load actuator, which can to adjust an amount of load applied to the front and/or rear axles. In this way, vertical load may be efficiently distributed between the front and rear axles automatically.

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

Abstract: A propulsion control system for a walk-behind self-propelled machine including a drive transmission and at least one wheel selectively driven by the drive transmission can include a sensor array and a controller. The sensor array can be configured to measure a first angular velocity about a first rotational axis of the machine and a second angular velocity about a second rotational axis of the machine, where the second rotational axis is different from the first rotational axis. The controller can be in electrical communication with the sensor array and configured to place the drive transmission in an off state when the drive transmission is in an on state, the first angular velocity is greater than a first threshold, and the second angular velocity is greater than a second threshold.

Abstract: A diagnosis device includes a first acquiring unit acquires, from a target device, context information corresponding to a current operation; a second acquiring unit acquires detection information output from a detecting unit that detects a physical quantity that changes according to operations performed by the target device; a first transmitting unit transmits the acquired context information to a learning device; a second transmitting unit transmits the acquired detection information to the learning device; a third acquiring unit acquires a model corresponding to the transmitted context information, from the learning device that determines whether any pieces of context information are identical or similar to each other and combines models generated from pieces of the detection information corresponding to the pieces of identical or similar context information; and a first determining unit determines whether an operation performed by the target device is normal by using the detection information and the model

Abstract: A method of monitoring the pressure of a tire of an aircraft, the method including: taking two or more pressure readings from the tire at different times; calculating an estimated deflation rate based on the pressure readings; and calculating a time for the tire to deflate to a reference pressure level based on the estimated deflation rate. Two or more temperature readings are each associated with one of the pressure readings, and the estimated deflation rate is calculated by normalising each pressure reading based on its associated temperature reading and a common reference temperature to obtain a temperature-normalised pressure reading, and calculating the estimated deflation rate based on the temperature-normalised pressure readings. The estimated deflation rate is compared with a threshold, and a warning provided if the estimated deflation rate exceeds the threshold.

Abstract: Method and system for determining a status of a mobile device of a user are disclosed. For example, the method includes receiving first sensor data at a first time from an application installed on a mobile device of a user, determining a first location of the mobile device, immediately subsequent to receiving the first sensor data at the first time, receiving second sensor data at a second time from the application, the second time following the first time by a time interval, determining a second location of the mobile device, determining a distance between the first location and the second location, determining whether the distance corresponding to the time interval exceeds a predetermined threshold, and determining whether a trip log indicative of at least one trip during the time interval is received from the application.

Abstract: A test method for a vehicle powertrain includes, during a first test in which dynamic engine torque from a powertrain drives a vehicle on a road, recording throttle position or accelerator pedal position to define a throttle schedule, and recording engine speed to define an engine speed schedule. The test method further includes, during a second test of a vehicle engine, controlling a dynamometer and the vehicle engine according to the engine speed schedule and throttle schedule to reproduce the dynamic engine torque.

Abstract: A navigation method includes selecting a route from a multiplicity of routes, which connect a departure point for a navigation to a destination for the navigation. The route includes at least one route segment. The at least one route segment for the route is selected from a multiplicity of road sections. The road sections are each assigned at least one property, which characterizes a driving experience. A metric is evaluated in accordance with the at least one property of a respective road section of the road sections. The route whose road sections maximize the metric as route segments for the route is selected.

Abstract: A system and method of detecting and responding to a failure of one or more vehicle components, the method including: receiving system input at a failure detection module regarding the one or more vehicle components; determining a system state through use of one or more onboard vehicle sensors; obtaining a nominal state transition matrix and a nominal state input matrix; calculating a present state transition matrix estimate and a present state input matrix estimate based on the nominal state transition matrix, the nominal state input matrix, the system input, and a sampled state derivative; detecting a failure of at least one of the vehicle components based on one or more component parameters of the present state transition matrix estimate and/or the present state input matrix estimate; and performing a vehicle action in response to the detection of the failure.

Abstract: A system and method for compiling and converting Aeronautical Radio Incorporated (ARINC) 424 or Digital Aeronautical Flight Information File (DAFIF) files into a binary database. The system and method include a controller module for displaying a comparison interface using a data structure comprising a plurality of nodes and a data architecture for supporting integration of multiple disparate navigation databases.

Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.

Abstract: An information processing system acquires positional information of a vehicle, acquires positional information of a terminal device, estimates current transportation means of a user based on the positional information of the terminal device, decides information relating to a first route, along which the user moves to the vehicle, based on the positional information of the terminal device, the estimated current transportation means of the user, and the positional information of the vehicle, decides information relating to a second route, along which the user who has moved to the vehicle moves to a destination using the vehicle, based on a first predicted arrival time, the positional information of the vehicle, and positional information of the destination, and outputs first guide information for prompting the user to start moving along the first route in a form of a video or a sound.

Abstract: A plurality of learning models generated by performing machine learning on physical quantities observed during respective operations of a plurality of machines are stored in advance. Then, using the stored learning models and a physical quantity observed during an operation of a machine which is an object to be diagnosed, characteristic differences between the machine which is the object to be diagnosed and the plurality of respective machines are calculated, a learning model used in a diagnosis of the operation of the machine which is the object to be diagnosed is selected based on the calculated characteristic differences, and the operation of the machine which is an object to be diagnosed using the selected learning model is diagnosed.

Abstract: Methods and apparatus are provided for repairing vehicles. A computing device having first and second software executables can determine vehicle identification information (VII) that identifies a vehicle. The computing device can store first and second vehicle identifiers that are based on the VII and are respectively associated with the first and second software executables, where the first vehicle identifier differs from the second vehicle identifier. The computing device can be used to repair the vehicle by at least: receiving a request to activate the first software executable, and activating the first software executable at least by providing the stored first vehicle identifier to the first software executable.

Abstract: Systems and methods for providing vehicle condition indicators are provided. The method for controlling the vehicle includes receiving sensor information from a plurality of sensors associated with the vehicle. The sensor information includes throttle values and lateral acceleration values. The method also includes analyzing the throttle values for a plurality of points in time to determine whether to activate an aggressive throttle flag. The method further includes analyzing the lateral acceleration values for the plurality of points in time to determine whether to activate an aggressive lateral acceleration flag. In addition, the method includes activating a fluid consumption detection enable flag when the aggressive throttle flag and the aggressive lateral acceleration flag are both active.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.