A system includes an assessment module and a training module. The assessment module is configured to receive event data about an event associated with a subsystem of a vehicle. The assessment module is configured to determine deviations between reference data for the subsystem indicating normal operation of the subsystem and portions of the event data that precede and follow the event. The assessment module is configured to determine whether the event data indicates a fault associated with the subsystem by comparing the deviations to a threshold deviation. The training module is configured to update a model trained to identify faults in vehicles to identify the event as a fault associated with the subsystem of the vehicle based on the event data in response to the deviations indicating a fault associated with the subsystem.

A side crash test apparatus uses a crash test structure including a center pillar, a roof-rail simulated part, and a rocker simulated part, and includes: a striker; a roof rail support; and a rocker support. The rocker support includes a rocker-rotation braking mechanism configured to restrain translation of the rocker simulated part, and support the rocker simulated part to be rotatable about an axis thereof and allow braking of the rotation. The rocker-rotation braking mechanism includes a rocker-rotation support member configured to rotate about the axis together with the rocker simulated part, a rocker-rotation shaft support configured to support a rotation center of the rocker-rotation support member, a rocker-rotation braking plate extended by rotation of the rocker-rotation support member while braking the rotation when the striker crashes into the center pillar, and a rocker rotation braking plate fixed portion configured to fix another end side of the rocker-rotation braking plate.

A system continuously monitors bearing temperature and wheel surface condition. The system may include a button contact sensor for sensing wheel bearing temperature and a measuring laser for detecting wheel breakage. The system may also include a vibration sensor, sound sensor, and a load sensor. Each sensor is in communication with a receiver/transmitter and may be mounted to the railcar by way of a friction lock magnetic mounting. Computer means may be used to store, analyze, and present the collected information for use in deciding whether, for example, the train should be slowed or stopped. A solar panel may provide power to the components.

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.

System and methods for servicing and monitoring shock struts are provided. A shock strut servicing assistance system may comprise: a controller in electronic communication with a display; and a tangible, non-transitory memory configured to communicate with the controller, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the controller, cause the controller to perform operations comprising: calculating, by the controller, a dead volume of a shock strut and determining, by the controller, a first decision, the first decision being whether or not the dead volume of the shock strut is negative. A shock strut servicing assistance system may be for servicing a shock strut having a negative dead volume.

Methods, computer-readable media, software, and apparatuses provide a system that may facilitate communications so that parents or other superiors may monitor driving behavior of a vehicle carrying children or other subordinates. The system may allow communications to be sent from a parent computing device to a particular child computing device to set conditions for notifying the parent or superior of the driving behavior of a vehicle. Child computing devices may collect drive data (e.g., vehicle telematics data) for the system to evaluate and determine whether conditions are met (e.g., whether parental restrictions, like a geo-fence, are violated). Further, the system may send notifications to child computing devices and parent computing devices indicating whether the drive data meets the conditions of an agreement between a parent and teen. The system may also provide a web portal for use in forming the agreement between parents and their teens.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

Embodiments of the present invention relate to the field of vehicle technologies, and disclose a method for establishing communication between a vehicle diagnosis device and a vehicle. The method is applied to a vehicle communication interface device. In the method, when a channel establishment instruction of the vehicle diagnosis device is received, a CAN controller in an idle state in at least two CAN controllers is determined, and then a communication parameter is set for the CAN controller in an idle state. Further, when a specified communication pin set of the vehicle diagnosis device is received, it is determined whether a CAN controller connected to the specified communication pin set is in an idle state. If yes, a communication channel from the vehicle diagnosis device to the specified pin set is established according to a communication parameter in the CAN controller connected to the specified communication pin set, so that the vehicle diagnosis device is communicatively connected to the vehicle through the specified pin set. In the method, no switch is required between the CAN controller and the communication pin set, so that the CAN controller can be easily and quickly allocated.

A work machine includes a vehicle body and a work implement attached to the vehicle body. A system calibrates the work machine by using an external measurement apparatus. The system includes an attitude sensor, a positional sensor attached to the vehicle body, a storage device, an input device and a processor. The attitude sensor outputs attitude data indicative of an attitude of the vehicle body. The storage device stores machine data indicative of a position of the positional sensor in a vehicle body coordinate system. The input device receives an input of calibration data including a position of a predetermined measurement point on the work machine measured by the external measurement apparatus, and a position of the positional sensor measured by the external measurement apparatus. The processor calibrates the machine data based on the calibration data and the attitude data.