Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.

A vehicle safety system for helping to protect a pedestrian in the event of a vehicle frontal collision with the pedestrian includes a plurality of crash sensors for sensing a vehicle frontal collision, an actuatable pedestrian protection device, a controller for controlling actuation of the pedestrian protection device, and at least one active sensor for determining the presence of a pedestrian in the path of the vehicle.

An electronic controller of a restraint control system for a vehicle comprises an electronic control unit including a first serial interface. The electronic controller also comprises a communications controller including a second serial interface and a plurality of PSI5 (Peripheral Sensor Interface 5) digital communications interfaces. Each of the first and second serial interfaces are Serial Peripheral Interfaces (SPI) in direct communications with one another, and the digital communications interfaces are each configured to communicate with a remote sensor. The communications controller is configured to transmit a voltage sync pulse to each of the remote sensors via the PSI5 digital communications interfaces in response to a synchronization command received from the electronic control unit via the serial interconnection. The voltage sync pulses on each of the PSI5 interfaces may be staggered and non-overlapping to reduce EMI production and to reduce the current load of the electronic controller.

A method and a control unit for triggering a passenger protection arrangement for a vehicle are described. A crash type is determined as a function of a first signal of a centrally disposed first acceleration sensor system and of a second signal of a second acceleration sensor system disposed in the side region of the vehicle. The triggering of the passenger protection arrangement takes place as a function of the crash type.

An electronic controller of a restraint control system for a vehicle comprises an electronic control unit including a first serial interface. The electronic controller also comprises a communications controller including a second serial interface and a plurality of PSI5 (Peripheral Sensor Interface 5) digital communications interfaces. Each of the first and second serial interfaces are Serial Peripheral Interfaces (SPI) in direct communications with one another, and the digital communications interfaces are each configured to communicate with a remote sensor. The communications controller is configured to transmit a voltage sync pulse to each of the remote sensors via the PSI5 digital communications interfaces in response to a synchronization command received from the electronic control unit via the serial interconnection. The voltage sync pulses on each of the PSI5 interfaces may be staggered and non-overlapping to reduce EMI production and to reduce the current load of the electronic controller.

Disclosed is a pedestrian collision determination system including a collision detection sensor and a control unit, the collision detection sensor including a conductive pattern disposed on a front surface of a shock absorber of a vehicle bumper to form an electromagnetic field by an application of alternating current power and a conductive material disposed at a position facing the conductive pattern on an inner surface of a bumper skin of the vehicle bumper, and the control unit determining an occurrence or non-occurrence of a collision of a pedestrian based on a change of a current flowing in the conductive pattern.

A method includes receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period and converting the set of sensor measurements into a frequency domain. The method also includes filtering the set of sensor measurements to eliminate high frequency sensor measurements and defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements. Each contiguous window of the set of contiguous windows represents a contiguous portion of the remaining sensor measurements. The method further includes generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies and generating an estimated speed of the vehicle during the first time period using the set of features.

Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.