A method and system that can be used to generate or modify a schedule using data indicative of a vehicle condition reported by a vehicle is described. A server receives a first computer network transmission (CNT) comprising data indicative of the vehicle and the vehicle condition, parses the first CNT to obtain the data indicative of the vehicle and the data indicative of the vehicle condition; determines, based on the data indicative of the vehicle, a computer network address associated with a repair shop having a client disposed at the address to display content of a scheduler application, and transmits to the client disposed at the address, a second CNT comprising data to cause the client to display as part of the content of the scheduler application served by computing server an alert indicator and parsed data indicative of the vehicle and the parsed data indicative of the vehicle condition.

Systems and methods for multi-signal fault analysis are described. The system receives signal message information, over a network, from a collection device comprised of a plurality of mobile devices including a first mobile device and a second mobile device that are associated with a first user. The first signal message information includes a first maintenance message including characterization information that was received by the first mobile device from a component that includes a sensor that operates to sense a first part that is assembled into a vehicle. The second signal message information includes signal information that was received by the second mobile device including an audio signal that a microphone in the second mobile device sensed. The system analyzes the multi-signal information to diagnose a problem and communicate a message to the first user with a diagnosis of the problem.

Operating conditions corresponding to a harvesting operation being performed by a mobile harvesting machine are detected along with a priority of a first performance pillar metric relative to a second performance pillar metric. An operating characteristic of the mobile harvesting machine is detected and a performance pillar metric value is identified for the first performance pillar metric based on the detected operating characteristic. A performance limitation corresponding to the first performance pillar metric is identified based on the detected operating conditions and an aggressiveness setting is detected that is indicative of an operating settings change threshold. It is then determined whether a settings change is to be performed based on the first performance pillar metric value, the priority of the first performance pillar metric, the first performance limitation and the settings change threshold and if the settings change is to be performed, a settings change actuator is controlled to execute the settings change.

A visual theft prevention system for a vehicle 1 comprises at least one sheet of automotive glass configured as a vehicle windscreen 2, and; at least one film layer attached to the at least one sheet of automotive glass, the film layer configured to have an active state where the film layer is substantially opaque, and an inactive state where the film layer is substantially transparent, the film layer shaped and sized such that when in the active state, the view of a user through the vehicle windscreen 2 is substantially blocked.

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.

A method for the acquisition of collective surroundings information for cooperative and/or autonomous driving. The method includes a vehicle equipped with an on-board unit and surroundings observation apparatus which produces a report about a detected vehicle not equipped with an on-board unit and transmits the report to the further vehicles which are moving or are located in the respective area. The further vehicles which receive the report transmit back a confirmation message to the reporting vehicle and confirm that the further vehicles are happy with the report. The further vehicles then refrain from transmitting a separate report about the unequipped vehicle.

An electronic control unit (ECU) is coupled to a vehicle network, such as a controller area network (CAN), which network can be either encrypted or non-encrypted. The ECU includes input and output ports (at least one) which provides a non-encrypted access into the vehicle network. The electronic control unit, also referred to as a specialized ECU or as an enhanced gateway module, in one embodiment includes at least one port for configuring the ECU through a personal computer or other computing device. The ECU in one embodiment includes multiple input/output ports which can interface with vehicle subsystems either through or separate from the CAN. The ECU, in one embodiment, includes a non-encrypted serial data port which allows for communication between the ECU and subsystems provided by a third-party for interfacing into an OEM vehicle network, and especially an encrypted network.

A vehicle information service implemented on one or more computers of a service provider network implements a first application programmatic interface (API) that allows a client to define inclusion parameters and a sample size for a fleet of vehicles from which vehicle data is to be collected. The vehicle information service also implements a second API that notifies the client when the requested vehicle data has been collected from the vehicle fleet. Additionally, the vehicle information service provides the client access to the collected vehicle data. The vehicle information service manages the collection of the vehicle data from the client defined vehicle fleet without requiring further client involvement and notifies the client when the collection of the vehicle data is complete.

A method includes receiving a first set of images from an image capture device of a vehicle. The method also includes performing a first analysis of movement of biomechanical points of occupants of the vehicle in the first set of images. The method further includes receiving an indication that a traffic incident has occurred. The method also includes receiving a second set of images from the image capture device corresponding to when the traffic incident occurred. The method further includes performing a second analysis of movement of the biomechanical points of the occupants in the second set of images. The method also includes determining a likelihood of injury or a severity of injury to the occupants based on the first analysis of movement and the second analysis of movement.