A vehicle control system includes at least one sensor and a power supply control system. The sensor is on board a vehicle system and configured to generate vehicle data relating to a condition or parameter associated with the vehicle system. The power supply control system is configured to control one or more power supplies on board the vehicle system and to receive the vehicle data from the at least one sensor. The power supply control system is also configured to compare the vehicle data to one or more criteria relating to vehicle movement, and, in response to a determination that the vehicle data meets the criteria and receipt of a signal indicative of the vehicle system carrying (or being configured to carry) cargo of a predetermined material, generate a control signal to deactivate at least one of the power supplies.

A vehicle control system includes at least one sensor and a power supply control system. The sensor is on board a vehicle system and configured to generate vehicle data relating to a condition or parameter associated with the vehicle system. The power supply control system is configured to control one or more power supplies on board the vehicle system and to receive the vehicle data from the at least one sensor. The power supply control system is also configured to compare the vehicle data to one or more criteria relating to vehicle movement, and, in response to a determination that the vehicle data meets the criteria and receipt of a signal indicative of the vehicle system carrying (or being configured to carry) cargo of a predetermined material, generate a control signal to deactivate at least one of the power supplies.

A method for determining a wheel radius of a motor vehicle, including calculating a yaw rate of the motor vehicle by means of a wheel speed of at least one wheel and a predefined wheel radius. The calculated yaw rate is compared with a measured yaw rate. The wheel speed is adapted. The calculation of the yaw rate is input, of the at least one wheel by means of a correction factor, so that the calculated yaw rate is equal to the measured yaw rate. The correction factor and the predefined wheel radius or the wheel speed is multiplied. The calculation of the yaw rate is input, for the determination of a corrected wheel radius or of a corrected wheel speed.

A method for determining a wheel radius of a motor vehicle, including calculating a yaw rate of the motor vehicle by means of a wheel speed of at least one wheel and a predefined wheel radius. The calculated yaw rate is compared with a measured yaw rate. The wheel speed is adapted. The calculation of the yaw rate is input, of the at least one wheel by means of a correction factor, so that the calculated yaw rate is equal to the measured yaw rate. The correction factor and the predefined wheel radius or the wheel speed is multiplied. The calculation of the yaw rate is input, for the determination of a corrected wheel radius or of a corrected wheel speed.

Systems and methods for determining accuracy of a smoothed navigation solution using filtered resets are provided. In certain embodiments, a navigation system includes one or more inertial devices configured to detect motion of the system and generate inertial data; and one or more aiding devices configured to generate aiding device measurement data. Further, the navigation system includes one or more processors configured to generate an un-smoothed navigation solution based on the inertial data and the aiding device measurement data, wherein the un-smoothed navigation solution includes an un-smoothed navigation error estimates for a state variable. Further, the one or more processors are configured to calculate a smoothed navigation error estimate for the state variable based on the un-smoothed navigation error estimate. Moreover, the one or more processors are configured to determine whether to provide a smoothed filter reset based on the smoothed navigation error estimate and the un-smoothed navigation solution.

Systems and methods for determining accuracy of a smoothed navigation solution using filtered resets are provided. In certain embodiments, a navigation system includes one or more inertial devices configured to detect motion of the system and generate inertial data; and one or more aiding devices configured to generate aiding device measurement data. Further, the navigation system includes one or more processors configured to generate an un-smoothed navigation solution based on the inertial data and the aiding device measurement data, wherein the un-smoothed navigation solution includes an un-smoothed navigation error estimates for a state variable. Further, the one or more processors are configured to calculate a smoothed navigation error estimate for the state variable based on the un-smoothed navigation error estimate. Moreover, the one or more processors are configured to determine whether to provide a smoothed filter reset based on the smoothed navigation error estimate and the un-smoothed navigation solution.

A sensor assembly may include one or more sensors mountable on a wheel of a vehicle and one or more processors electrically coupled to the one or more sensors for determining a driving condition of the vehicle based on the first sensor signals and the second sensor signals. Methods for determining a driving condition of a vehicle based on sensor signals and a wheel assembly that includes a wheel and the sensor assembly are also disclosed.

The technology involves evaluating components of an autonomous vehicle that can be meaningfully evaluated over a single operational iteration. One or more snapshots of single iteration scenarios can be tested quickly and efficiently, either on vehicle or via a back-end system. Each snapshot corresponds to a particular point in time when a given component runs. Each snapshot contains a serialized set of inputs necessary to evaluate the particular component. These inputs comprise the minimal amount of information needed to accurately and faithfully recreate what the component did or does. Each snapshot is triggered at the particular point in time based on one or more criteria associated with either a driving scenario or a component of the vehicle during autonomous driving. A serialized snapshot may be retrieved from storage and deserialized, so that the system may evaluate the state of the component at the particular point in time.

The technology involves evaluating components of an autonomous vehicle that can be meaningfully evaluated over a single operational iteration. One or more snapshots of single iteration scenarios can be tested quickly and efficiently, either on vehicle or via a back-end system. Each snapshot corresponds to a particular point in time when a given component runs. Each snapshot contains a serialized set of inputs necessary to evaluate the particular component. These inputs comprise the minimal amount of information needed to accurately and faithfully recreate what the component did or does. Each snapshot is triggered at the particular point in time based on one or more criteria associated with either a driving scenario or a component of the vehicle during autonomous driving. A serialized snapshot may be retrieved from storage and deserialized, so that the system may evaluate the state of the component at the particular point in time.

The invention relates to the technologies used in simulating the sounds reproduced by the exhaust system or the burnt gas exhaust system of a vehicle engine. Method of simulating the vehicle engine sounds reproduced by the burnt gas exhaust, characterized in that the recorded or synthesized sound templates are loaded into the electronic control unit located in the vehicle and connected to its CAN circuits, and the recorded sound templates (modified depending on the CAN circuits information) are reproduced through at least one speaker that is part of the acoustic device connected with the electronic control unit. Also, a system for simulating the vehicle engine sounds reproduced by the burnt gas exhaust system is described. The technical result consists in providing high accuracy in generating and simulating of specific vehicle engine sounds reproduced by the burnt gas exhaust system.