Systems and techniques are described herein for configuring an automotive controller within an EE architecture. The automotive controller is connected to other components within the EE architecture. An initialisation process is activated in the automotive controller in which the automotive controller determines diagnostic data for identifying other components connected to it within the EE architecture. The diagnostic data is transmitted from the automotive controller to an update controller. An identifier is assigned to the automotive controller by the update controller based on a location within the EE architecture determined from the diagnostic data. The software in the automotive controller is then updated based on the determined location.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.

A system includes an autonomous vehicle (AV) comprising a sensor, a control subsystem, and an operation server. The control subsystem receives sensor data comprising location coordinates of the AV from the sensor. The operation server detects an unexpected event from the sensor data, comprising at least one of an accident, an inspection, and a report request. The operation server receives a message from a user comprising a request to access particular information regarding the AV and location data. The operation server associates the AV with the user if the location coordinates of the AV match location data of the user. The operation server establishes a communication path between the user and a remote operator for further communications.

The invention provides a control unit and a control system for a vehicle capable of reducing a workload of deleting a record of information of an unintended event detected by a certain control unit by preventing the other control unit from recording the information of the event. Control units (50a to 50d) that are mounted on the vehicle and connected in a mutually communicable manner each include an event processing section (55). The event processing section (55) executes one or both of processing to switch whether to notify a recording request of the information of the event and processing to switch necessity/unnecessity of recording of the information of the event.

A vehicle management device includes a first driving unit, a second driving unit, an inspection unit, and a maintenance unit. The first driving unit transmits a first signal for autonomously driving a first vehicle included in a vehicle group under a first condition. The second driving unit transmits a second signal for autonomously driving a second vehicle that is a vehicle other than the first vehicle included in the vehicle group under a second condition that the vehicle is less likely to be deteriorated than under the first condition. The inspection unit makes an instruction for a performance inspection of the first vehicle after autonomous driving of the first vehicle under the first condition ends. The maintenance unit decides a maintenance time of the second vehicle by using a result of the performance inspection of the first vehicle.

A vehicle includes a storage device configured to store an estimation algorithm configured to output a degree of deterioration of a component mounted on the vehicle in response to an input of a value of a parameter related to the component, a sensor configured to detect the value of the parameter, and a control device. The control device is configured to execute a performance test by autonomous driving of the vehicle, acquire data indicating performance of the component during the performance test, and update the estimation algorithm by using the data acquired during the performance test.

There is provided a method of specifying a location of occurrence of an abnormal sound, the method including: storing mapping data in a storage device, the mapping data prescribing mapping that receives, as inputs, a sound variable that matches a sound detected in a vehicle and a state variable of a drive-system device of the vehicle synchronized with the sound, and that outputs a location as a main cause of the sound; executing a sound signal acquisition process of acquiring a sound signal output from a microphone that detects a sound; a state variable acquisition process of acquiring the state variable of the drive-system device; and a specifying process of specifying the location of occurrence of the sound corresponding to the sound signal using the sound variable and the state variable as inputs to the mapping. There are also provided a non-transitory storage medium and an in-vehicle device.

Described herein are systems, methods, and non-transitory computer readable media for evaluating vibrational characteristics of a vehicle such as an autonomous vehicle and vibrational characteristics of a road surface in conjunction with one another to identify anomalous vehicle vibrational characteristics that may be indicative of potential damage to the structure of a vehicle. A baseline vibrational signature may be generated for a road segment based on sensor data received from multiple vehicles traversing the road segment. A vibrational signature may also be generated for a particular vehicle being evaluated based on real-time sensor data. If the vibrational signature for the vehicle deviates from the baseline vibrational signature for the road segment by more than a threshold amount, the vehicle may be deemed to be exhibiting anomalous vibrational characteristics indicative of potential vehicular damage. One or more actions in response thereto may then be taken such as automatically halting the vehicle.

A power management system is provided to manage internal and external power sources for an embedded electronic device. The power management system includes an internal power source and an external power source. The power management system determines when to power the internal embedded electronic device or devices from either the internal or external power source, when to recharge the internal power source, when to shut down the internal embedded electronic device so as not to over discharge and damage the internal power source when external power is not available.

Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.