A vehicle includes: an audio system, local sensors including a crash sensor, a fuel pump, and processor(s) configured to: (a) select filter(s) based on a determined audio system state; (b) decontaminate present crash sensor data via the filter(s); (c) determine whether to deactivate the fuel pump based on the decontaminated data. The processor(s) are configured to map prior crash sensor data to prior determined audio system states and select the filter(s) by selecting some of the mapped prior crash sensor data.

In order to detect a vehicle accident in which a vehicle and an object crash into one another, wherein a motion variable assigned to the collision is so low that at least one active occupant protection system provided for accidents in the vehicle is not activated by the crash, it is provided, with respect to the collision event, that signals and/or data formed by sensors of the vehicle are processed in such a manner that the signals and/or data are filtered, feature data are formed based on the filtered signals and/or data, and the collision event is assigned to a classification in a classification database based on the feature data.

A vehicle includes: an audio system, local sensors including a crash sensor, a fuel pump, and processor(s) configured to: (a) select filter(s) based on a determined audio system state; (b) decontaminate present crash sensor data via the filter(s); (c) determine whether to deactivate the fuel pump based on the decontaminated data. The processor(s) are configured to map prior crash sensor data to prior determined audio system states and select the filter(s) by selecting some of the mapped prior crash sensor data.

A system for detecting a mismatch between first and second input signals includes first and second analog-to-digital converters, a time-division multiplexing circuit, first and second processors, a time-division de-multiplexing circuit, and a gating circuit. The first processor includes a first sinc filter, a first trimmer, a first infinite impulse response (IIR) filter, and a first high pass filter (HPF). The second processor includes a second sinc filter, a second IIR filter, and a second HPF. A bandwidth of the second IIR filter and the second HPF is greater than a bandwidth of the first IIR filter and the first HPF. A transfer function of the first IIR filter and the first HPF uses floating-point coefficients and a transfer function of the second IIR filter and the second HPF uses coefficients that are an integral power of two.

The disclosure relates to apparatus (300) and automated methods (100, 200) for generating a library of templates (304) corresponding to different known types of motor vehicle event and discriminating between types of event on a motor vehicle. The apparatus (300) comprises the template library (304) and a pattern matching processor (302).

From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.