A sensor, including at least one transducer for emitting signals and for receiving reflected echo signals, the transducer being set up to output an analog measuring signal, an analog-to-digital converter for converting the analog measuring signal into a digital measuring signal, an evaluation unit for evaluating the digital measuring signal, and a communication unit for transmitting a measuring result of the evaluation via a digital communication interface. The communication unit is equipped to receive a request for diagnostic data via the digital communication interface, and is also equipped to switch the sensor to diagnostic operation and to transmit requested diagnostic data via the digital communication interface. The communication unit is set up to communicate with at least two different data rates via the digital communication interface, a higher data rate being used for transmitting the diagnostic data than for transmitting the measuring result during normal operation of the sensor.

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, determining fault as part of the subrogation process. An exemplary embodiment may include receiving an electronic notification of a vehicle collision; receiving sensor data (such as telematics, image, audio, vehicle operational, or other sensor data) related to the vehicle collision; determining a percentage of fault of the vehicle collision for one or more vehicles, vehicle systems, and/or drivers based upon, at least in part, analysis of the sensor data collected; and creating a blockchain for the vehicle collision with one or more links to the sensor image data and an indication of the percentage of fault(s) determined to facilitate blockchain-based claim handling.

In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

A vehicle lighting system includes a light assembly and an electronic controller. The light assembly includes one or more lights configured to illuminate an external area that is in a vicinity of the vehicle. The electronic controller is programmed to receive a battery status signal from a battery of the vehicle. The electronic controller is further programmed to control the light assembly to illuminate the one or more lights to display a status of the battery when the vehicle is in a predetermined condition. The predetermined condition is at least one of a condition in which a remote electronic device is within a vicinity of the vehicle, a condition in which the vehicle has transitioned from a locked state to an unlocked state, and a condition in which the vehicle is about to be transitioned from the locked state to the unlocked state.

A recording apparatus includes: a captured data acquisition unit configured to acquire captured data captured by a camera that captures an image of an outside of a vehicle; an event detection unit configured to detect an event with respect to the vehicle; an attachment/detachment detection unit configured to detect an attachment/detachment state of the recording apparatus with respect to the vehicle; and a recording controller configured to store, when the event detection unit has detected the event, captured data for a predetermined period of time due to the detected event as first event recording data, invalidate, when it is detected by the attachment/detachment detection unit that the recording apparatus has been detached from the vehicle, the detection of the event by the event detection unit after the detection of the detachment, and store captured data after the detection of the detachment as second event recording data.

According to one embodiment, a method of generating warning messages based on system load of an autonomous driving vehicle can relieve a safety operator of the burden of constantly monitoring the vehicle and outside driving environments. The method uses a threshold for each of a number of system load parameters to determine whether the vehicle has a heavy system load that needs the attention of the safety operator. In one example, the vehicle can use a CPU usage threshold and an end-to-end latency threshold to determine whether the vehicle has a heavy system load while travelling on a road segment. If any of the thresholds is exceeded, the vehicle can send a warning message to the safety driver. The system load thresholds may be determined from data collected from the autonomous driving vehicle when it previously travelled on the road segment.

A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

Methods, apparatus, systems and articles of manufacture are disclosed for augmented reality vehicle condition inspection. An example apparatus disclosed herein includes a location analyzer to determine whether a camera is at an inspection location and directed towards a first vehicle in an inspection profile, the inspection location corresponding to a location of the camera relative to the first vehicle, an interface generator to generate an indication on a display that the camera is at the inspection location, the indication associated with an inspection image being captured, and an image analyzer to compare the inspection image captured at the inspection location with a reference image taken of a reference vehicle of a same type as the first vehicle, and determine a vehicle part condition or a vehicle condition based on the comparison of the inspection image and the reference image.

This disclosure relates to a method for situation-dependent storage of data of a system, in which data of the system is detected, is amalgamated in at least one data block and is stored in a volatile memory, and in which, in response to the occurrence of at least one predefined trigger event in the at least one data block, amalgamated data are transferred from the volatile memory into a read-only memory, and in which a time window, in which the data for the at least one data block is captured, is selected automatically and dynamically according to the at least one trigger event.

A vehicle system may include a memory of a vehicle configured to maintain at least one smart contract between a manufacturer of the vehicle and a supplier of components to the manufacturer, and a processor of the vehicle configured to receive at least one diagnostic code from the vehicle, the diagnostic code being associated with at least one vehicle component, in response to the code being identified by the processor as being associated with the at least one smart contract, update the at least one smart contract within the memory with the code, and transmit the smart contract, as updated, to a third party associated with the vehicle component.