A vehicle control unit for an electrically powered vehicle unit, the vehicle control unit comprising at least one input port arranged to receive data associated with a status of one or more electrical system components , the vehicle control unit comprising an output port arranged to trigger a warning signal by an acoustic vehicle alerting system, AVAS, wherein the vehicle control unit is arranged to detect onset of an electrical system fault condition based on the received data, and to trigger a warning signal by the AVAS in case an electrical system fault condition is detected.

An apparatus is provided to test valves. The apparatus includes a sensor and a driving mechanism. The driving mechanism is configured to control an external camshaft that is coupled to a valve train of an engine head. The apparatus controls the driving mechanism to control a rotation of the external camshaft that further controls an activation of each valve of the valve train associated with the engine head. The apparatus further controls the sensor to acquire information associated with the activation of each valve of the valve train based on the rotation of the external camshaft. The apparatus further compares the acquired information with pre-stored information, to determine an abnormality in each valve of the valve train, and generates a notification based on the comparison.

The present invention relates to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, and more particularly, to a method, a computing device and a computer-readable medium for dividing and providing a work to workers in crowdsourcing, in which, when a work is provided to workers in crowdsourcing, the work is segmented into a plurality of zones, and the work segmented into the zones is provided to a plurality of workers to allow the workers to perform tasks for specific zones of the work, respectively, so that a large-scale work is rapidly processed.

Systems and methods cause a component of a vehicle to activate. The systems and methods receive audio data generated by a microphone of the vehicle, where the audio data represents sound of the component. Based on the audio data, a condition of the vehicle or the component may be determined, and based on the condition, the vehicle may be commissioned for use or decommissioned.

A plurality of driving force transmitting components of the same kind is categorized into a plurality of groups depending on a frequency range with the loudest operation sound. A component selection device stores mapping data that is data that defines mapping learned by machine learning. When the user-related information is input as an input variable, the mapping outputs a value corresponding to the input variable as an output variable. The vehicle component selection method causes the component selection method to execute: an input process inputting the user-related information into the mapping as the input variable; a selection process selecting the group corresponding to the output variable output by the mapping from the groups; and a determination process determining the driving force transmitting component categorized into the group selected in the selection process as a component to be installed in the vehicle for the user identified by the user-related information.

An apparatus is provided to test valves. The apparatus includes a sensor and a driving mechanism. The driving mechanism is configured to control an external camshaft that is coupled to a valve train of an engine head. The apparatus controls the driving mechanism to control a rotation of the external camshaft that further controls an activation of each valve of the valve train associated with the engine head. The apparatus further controls the sensor to acquire information associated with the activation of each valve of the valve train based on the rotation of the external camshaft. The apparatus further compares the acquired information with pre-stored information, to determine an abnormality in each valve of the valve train, and generates a notification based on the comparison.

Systems and methods are disclosed for detecting a crack in an automotive windshield and alerting a user of the same. This can allow the user to repair the crack before the user might otherwise detect the crack by his/her own visual inspection. The windshield can be provided with emitters configured to emit signals (e.g., sound, light, etc.) and corresponding detectors configured to detect the emitted signals. Signal profiles or signatures can be stored that represent normal measurements when there is no crack. Upon detecting a signal signature that deviates from the stored normal signal signatures, the system can notify the user of a potential crack in the windshield. The system can also determine the location of the crack based upon which of the detectors detect a change in the detected signal.

Systems and methods for reporting on vehicle characteristics determined by the control system of a multi-speed automatic transmission of a vehicle are provided. The control system may output a vehicle mass alert based on a relationship between a vehicle mass threshold and a determined vehicle mass satisfying a condition. The control system may output a vehicle road grade alert based on a relationship between a vehicle road grade threshold and a determined vehicle road grade satisfying a condition.

A computer-implemented remote starting method includes instructing the remote start of a vehicle using a wireless device. The method also includes inputting, to the wireless device, a desired vehicle interior temperature. The method further includes sending a remote start instruction to a vehicle from the wireless device, including at least the desired temperature and monitoring a current temperature of the vehicle. The method additionally includes outputting, on the wireless device, the current vehicle temperature.

An electrically or partially electrically driven vehicle has a system (1) for active sound design. Active sound design sounds emitted by one or more loudspeakers (5) are modified depending on the driver type and/or depending on the current driving style. The system (1) has at least one sensor for recording measurement parameters (2) that permit a classification of a current driving style and/or a driver type of a driver of the vehicle. The device (1) has a classification device (3) that is configured to determine the current driving style and/or driver type of the driver of the vehicle based on the measurement parameters (2) recorded by the at least one sensor. The system (1) has a sound control system for controlling and modifying the sounds emitted by the loudspeakers (5) based on the current driving style and/or driver type classified by the classification device (3).