Abstract: Disclosed are system and method for the identification and recognition of a motor vehicle based on the profile of the voltage values from the onboard electrical system. The system comprises a voltage and/or current detecting device connected to a vehicle's electrical system. The system is configured to create a database comprising at least one reference voltage value and/or absorbed current associated with at least one predetermined condition of the vehicle, detecting at least one value of voltage and/or current absorbed in operation associated with at least one predetermined vehicle condition and comparing the at least one reference value with the at least one operating value. In the case where at least one operating value coincides with at least one reference value, it is determined that the identification system is installed on the vehicle or, if not, it is determined that the identification system is not installed on the vehicle.

Abstract: Disclosed herein is a method and apparatus for converting a stream of samples at a first sampling rate to a stream of samples at a second sampling rate. An exemplary method includes measuring the first sampling rate; determining a first upsampling factor from a basis including: the measured first sampling rate, the target value of the second sampling rate, and a resynchronisation error factor, the first upsampling factor being constrained to be an integer power of a predetermined integer value; and deriving, from a reference set of filter coefficients and from a ratio of the first upsampling factor to a reference upsampling factor, a first set of filter coefficients for use in a first interpolation filter, the reference set of filter coefficients being for a reference upsampling factor that is an integer power of the predetermined integer value.

Abstract: A method of converting a stream of samples at a first sampling rate to a stream of samples at a second sampling rate is disclosed, comprising: measuring the first sampling rate; determining a first upsampling factor from a basis comprising: the measured first sampling rate, the target value of the second sampling rate, and a resynchronisation error factor, the first upsampling factor being constrained to be an integer power of a predetermined integer value; and deriving, from a reference set of filter coefficients and from a ratio of the first upsampling factor to a reference upsampling factor, a first set of filter coefficients for use in a first interpolation filter, the reference set of filter coefficients being for a reference upsampling factor that is an integer power of the predetermined integer value.

Abstract: Disclosed are system and method for the identification and recognition of a motor vehicle based on the profile of the voltage values from the onboard electrical system. The system comprises a voltage and/or current detecting device connected to a vehicle's electrical system. The system is configured to create a database comprising at least one reference voltage value and/or absorbed current associated with at least one predetermined condition of the vehicle, detecting at least one value of voltage and/or current absorbed in operation associated with at least one predetermined vehicle condition and comparing the at least one reference value with the at least one operating value. In the case where at least one operating value coincides with at least one reference value, it is determined that the identification system is installed on the vehicle or, if not, it is determined that the identification system is not installed on the vehicle.

Abstract: A method for detecting and validating anomalous stresses of a transportation vehicle recorded and transmitted to a remote processing station by an on-board device adapted to acquire data relative to motion and/or driving parameters of a transportation vehicle, comprising steps of: applying to data representative of an anomalous stress to be validated, recorded and transmitted by the on-board device, by the remote processing station, at least one first correlation filter based on a neural network, wherein applying comprising steps of: comparing the data representative of an anomalous stress with the data respectively stored in a database of data representative of basic anomalous stresses of true type and a the database of data representative of basic anomalous stresses of false type; on the basis of result of the step of comparing, validating the anomalous stress as a true event or as a false event.

Abstract: Systems and methods are provided for dynamically balancing processing of sensor-based data and signals in a vehicle. The disclosed embodiments may receive signals associated with sensors in the vehicle, and transmit the signals over a network for offboard processing. The disclosed embodiments may also make a request for authorization to process the signals onboard the vehicle, receive a response to the request, and selectively process the signals onboard the vehicle based on the response.