A system according to which a network of physical sensors are configured to detect and track the performance of aircraft engines. The physical sensors are placed in specific locations to detect an exhaust gas temperature, vibration, speed, oil pressure, and fuel flow for each aircraft engine. The performance of each aircraft engine is then viewed in combination with oil consumption associated with that aircraft engine and the routine maintenance program associated with that aircraft engine to route the aircraft and move the aircraft, in accordance with the routing, to a specific location. The sensors efficiently track the performance and physical condition of the engines. Moreover, a listing of identified “at-risk” engines is displayed on a screen of a GUI in a manner that allows for easy navigation and display. Data point(s) that triggered the identification of each “at-risk” engine are easily accessible and viewable.

A system and method for calibrating a vehicle optical sensor includes positioning the vehicle in a test station having a projection surface in view of the optical sensor, positioning targets on two hubs of the vehicle, and positioning lasers left to right that are mounted on a graduated mounting bar in front of the vehicle. The graduated mounting bar includes gradations indicative of a lateral position of the lasers on the graduated mounting bar. The lasers are configured to obtain a distance to the targets and distances along respective axes and between the lasers. The calibration is performed based on the obtained distances and once the vehicle's position in the test station is known with respect to the test station.

A personal mobility sharing service providing method is implemented by a server for executing the method. The server includes: a communication device configured to communicate with device terminals mounted on personal mobility devices managed by the server and user terminals of users using the personal mobility sharing services; and a control device configured to acquire device state information on the personal mobility devices through the device terminals, acquire use state information of respective users on the personal mobility devices through the user terminals, and when generation of at least one voice of customer (VOC) to a first user is predicted based on the use state information and the device state information, transmit first guide information on the at least one VOC to a first user terminal of the first user.

The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.

An information processing device comprises an accident notification accepting unit, a withdrawal notification accepting unit and an area identifying unit. The accident notification accepting unit accepts from a mobile object an accident notification containing accident determination information indicating that it is determined that an accident has occurred in said mobile object and occurrence site information indicating the site where it is determined that the accident has occurred. The withdrawal notification accepting unit accepts a withdrawal notification to withdraw said accident notification. The area identifying unit records the occurrence site information contained in the accident notification withdrawn by said withdrawal notification and identifies a withdrawal-notification prone area based on the recorded occurrence site information.

A method of determining the health of a tire on a vehicle includes determining a total number of tire inflation events that have occurred due to a loss of tire pressure. A rate in which the tire inflation events have occurred is determined based on the total number of tire inflation events over a predetermined period of time. The health of a tire is determined by comparing the rate in which tire inflation events have occurred to a threshold rate.

A drive recorder is mounted on a back door of a vehicle. The drive recorder includes: an abnormality detection unit that detects an abnormality related to the vehicle; an open or closed door detection unit that detects that the back door is open or closed; an event detection unit that detects an event based on a result of detection by the abnormality detection unit and a result of the open or closed door detection unit; and a recording control unit that records event data in response to a detection of the event.

A vehicle includes a first sensor that senses a state of the vehicle and a second sensor that senses outside of the vehicle. A computing device is configured to receive signals from the sensors and to control rotating and turning of the wheels. While the vehicle is parked, the computing device determines according to a signal received from the sensors, that a condition is satisfied. The condition may be associated with a particular wheel. Based on determining that the condition is satisfied, and while the vehicle remains parked, the computing device initiates automatically rotating or turning the particular wheel associated with the condition.

An information processing apparatus disclosed provides a telematics service. The information processing apparatus has a controller. When contract of subscription to the telematics service is made, the controller sets an email address designated by a user as a login ID for the telematics service. Moreover, the controller stores the login ID thus set in a memory with its link with a vehicle of which the user has the ownership or the right to use.

A method, apparatus, and system are described. The method includes generating a set of current values associated with at least one component included on a moving vehicle and providing the set of current values over a wireless network. The values are generated by one or more sensors. An edge computing device receives the current values. The method further includes processing the set of current values in real-time using at least one machine learning algorithm to identify a value of a point in time for a failure of one of the at least one component based on the set of current values and at least one set of past values received. The past values are stored in a memory. The set of current values are transmitted with a low time latency between the generating the set of current values and the processing of the set of current values.