A system and a method for diagnosing a problem with a motor vehicle using sound. Ambient noise information for the motor vehicle is determined. Current sound information is received, and whether there is a variation in sound between the current sound information and the ambient noise information is determined. The ambient noise information is subtracted from the current sound information if the variation has been identified, to identify a sound anomaly. A sound anomaly signal is extracted and compared with predetermined anomaly signal information stored in a database. The predetermined anomaly signal information is associated with diagnostic information.

A system for estimating flight range of an electric aircraft. The system generally includes at least a sensor and a flight controller. The at least a sensor is communicatively connected to at least a flight component. The at least a sensor is configured to detect a performance datum of the at least a flight component. The flight controller is communicatively connected to the at least a sensor. The flight controller is configured to receive the performance datum from the at least a sensor, determine an energy performance datum from the performance datum, determine a flight performance datum from the performance datum, generate a projected flight range datum as a function of the energy performance datum and the flight performance datum, and display the projected flight range datum. A method for estimating flight range of an electric aircraft is also provided.

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.

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.

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.

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.

Systems and methods are provided for requirements engineering, and may include: receiving as input, time series data from at least one of a simulation of a vehicle run on a simulation system, or from the vehicle in operation; a requirements monitoring system checking to determine whether a plurality of requirements for operation of the vehicle are met, wherein the requirements are expressed in signal temporal logic form and a requirement includes at least an associated minimal sampling rate and a filtering policy applicable to the requirement; determining a quantitative conformance for each of selected requirements of the plurality of requirements; and add requirements to a verified requirements set based on the qualitative conformance of the requirements.

A method and a device for providing an operating state of a sensor of a vehicle. The method includes detecting first environment data values using the sensor, the first environment data values representing an environment of the vehicle, receiving second environment data values, which represent the environment of the vehicle, the second environment data values being detected by an infrastructure sensor system, determining the operating state of the sensor as a function of the first and the second environment data values, and providing the operating state of the sensor.

A system for recording event data of an autonomous vehicle is disclosed. The present disclosure suggests an EDR system operation scheme suitable for properly investigating the cause of a vehicle accident. Subsystems of an autonomous driving control system may determine whether an event satisfying a preconfigured condition has occurred, and send to an EDR system a trigger signal to trigger recording of data elements related to the event when the occurrence of the event is detected. The EDR system may record data elements that are useful to reconstruct a map of an external environment surrounding an autonomous vehicle at the time of the occurrence of the event or to reconstruct an internal environment of the vehicle.