A sound source estimation system includes a microphone that detects sound which is generated from an object including a rotary device, a rotation speed acquiring unit that acquires a rotation speed of the rotary device, a frequency analyzing unit that generates frequency sound data indicating change of a frequency spectrum of sound detected by the microphone, a degree calculating unit that calculates a degree based on a loudest sound frequency indicating loudest sound out of frequencies of the sound and the rotation speed, and a degree comparing unit that determines a component with a degree closest to the degree as a sound source candidate of the noise.

An autonomous vehicle (AV) maintenance system engages a user of an AV to assist in maintenance tasks. A sensor interface receives data captured by a sensor of the AV. An issue detector processes the sensor data to detect an issue in the AV. A user interface module instructs a user to perform a maintenance task addressing the detected issue. A verification module verifies that the user successfully completed the maintenance task.

A sensor module includes a first sensor device that outputs first measurement data from a first measurement circuit receiving a signal from a first sensor element and performing a measurement process, a second sensor device that outputs a second measurement circuit receiving a signal from a second sensor element and performing a measurement process, and a microcontroller that receives the first measurement data and the second measurement data, in which the first sensor device includes a first terminal that is used for input of an external synchronization signal or a synchronization signal which is a signal based on the external synchronization signal, and input or output of a communication signal, and the second sensor device includes a second terminal that is used for input of the synchronization signal, and input or output of the communication signal.

Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

A maintenance information management device includes an information registration unit configured to register vehicle identification information and maintenance information in a memory for each vehicle, an information update unit configured to update the maintenance information after the maintenance of the vehicle by adding maintenance contents to the maintenance information registered in the memory, and an information providing unit configured to provide the maintenance information when a provision request for the maintenance information is accepted.

An intelligent vehicle charging system for charging a fleet of autonomous vehicles throughout a network of charging stations dispersed throughout a geographic area. The intelligent vehicle charging system includes a remote control system that is in operative communication with each of the autonomous vehicles in the fleet and each of the charging stations in the network. When an autonomous vehicle is in need of a power charge, or as directed by the remote control system, the remote control system will identify an available charging station, guide the autonomous vehicle to the charging station, verify that the autonomous vehicle has arrived at the charging station, initiate the power charging process, account and bill appropriate fees for the charging process, and log all associated activity. The remote control system is also capable of remotely and instantaneously terminating the power charging process to dynamically return a vehicle back to service.

A system for electrical charging of a first vehicle by a second vehicle includes a network access device to communicate with a first source that includes at least one of the first vehicle or a mobile device associated with a user of the first vehicle. The system further includes a processor coupled to the network access device that is designed to receive a charge request from the first source via the network access device, the charge request requesting access to a source of electrical energy for charging the first vehicle. The processor is further designed to identify an available vehicle that is available to be used as the source of electrical energy for charging the first vehicle. The processor is further designed to control the network access device to transmit available vehicle information corresponding to the available vehicle to the first source in response to receiving the charge request.

Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an input partition configured to store input data to the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for enhanced endurance, cyclic sequential overwrite of a continuous input stream.

In one embodiment, a control system for a power wheelchair is provided allowing a user to change the type of input control device throughout a day, week, month, and/or year as their physical and/or mental condition changes. This includes changing input controls from proportional to switch-type devices. A user may start the day when they are not tired with a proportional input control device like a proportional joystick. Then, as the day progresses and the user begins to experience fatigue or exhaustion, the user can change to a switch-type control device requiring less control and dexterity (e.g., less strength and energy) to effectively control the power wheelchair. The user can also start the day with a 4, 3, or 2 switch direction input control and later change to a single switch input control device with scanning. Other combinations are also possible.

A method for operating a controller, including: executing a first task-program in a first time pattern of first time-slots, performing a second task-program in a second time pattern of second time-slots, ascertaining a status variable, indicating whether a result of the first task-program is released, ascertaining the result of the first task-program in an instantaneous first time-slot and transmitted in this slot to a memory area assigned to the second task-program, the second task-program ascertains a second result as a function of the status variable value and the result of the first task-program, the status variable value is transmitted in the instantaneous time-slot to a status memory area assigned to the second task-program, the result of the first task-program and the status variables values are ascertained and transmitted after the beginning of execution of the first task-program and before another execution of the first task-program.