A system and method are disclosed for helping a user determine whether a vehicle is subject to a safety recall and assisting the user with addressing incomplete safety recalls. A vehicle identification number (VIN) may be extracted from an image of a vehicle captured by a user electronic device and used to request safety recall information from a remote information system, which may provide a list of recalls associated with the vehicle. A list of nearby service centers may be identified based on the physical location of the user electronic device, and service appointments to address any incomplete recalls may be scheduled, either automatically or in response to user input.

Systems and methods are described to create a comprehensive model from multiple input data sources in distributed manner for performing diagnostics and/or prognostics of a complex system/platform having its modules/parts implemented independent of each other. In an embodiment, the proposed system for creating a comprehensive connected model of a complex platform includes a input data receive module configured to receive data/content/information from one or more input data sources associated with different modules of the complex platform in a distributed manner, a dependency determination module configured to analyze a plurality of entities/variables retrieved from the data and determine dependency relationships between the plurality of entities by creating a edge list, and a connected model creation module configured to create a comprehensive connected model (connected graph) from the edge list.

Systems and methods are described to create a comprehensive model from multiple input data sources in distributed manner for performing diagnostics and/or prognostics of a complex system/platform having its modules/parts implemented independent of each other. In an embodiment, the proposed system for creating a comprehensive connected model of a complex platform includes a input data receive module configured to receive data/content/information from one or more input data sources associated with different modules of the complex platform in a distributed manner, a dependency determination module configured to analyze a plurality of entities/variables retrieved from the data and determine dependency relationships between the plurality of entities by creating a edge list, and a connected model creation module configured to create a comprehensive connected model (connected graph) from the edge list.

A new system is described that is able to detect mechanical failures in a rotating shaft or shafts such as those which may be found in an aircraft or other mechanical device or vehicle. The system comprises a first accelerometer provided on the rotating shaft to be monitored and a reference accelerometer provided elsewhere, and further comprising means for comparing information received from these accelerometers so as to determine a fault in the rotating shaft that is being monitored.

A new system is described that is able to detect mechanical failures in a rotating shaft or shafts such as those which may be found in an aircraft or other mechanical device or vehicle. The system comprises a first accelerometer provided on the rotating shaft to be monitored and a reference accelerometer provided elsewhere, and further comprising means for comparing information received from these accelerometers so as to determine a fault in the rotating shaft that is being monitored.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a 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: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a 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 simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.

A simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.

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.