A method of determining a position of a mobile device in a vehicle includes obtaining accelerometer data collected using a accelerometer in the mobile device, obtaining angular orientation data collected using a gyroscope in the mobile device, and determining a start time of a driving event. The method also includes determining an entry side for the mobile device prior to the driving event, detecting an acceleration event, aligning the mobile device to a reference frame of the vehicle, and determining a front/back location of the mobile device. The method further includes detecting a braking event, determining an end time of the driving event, determining an exit side for the mobile device after the driving event, and determining the position of the mobile device during at least a portion of the driving event.

A method based on separating ambient gravitational acceleration from a moving three-axis accelerometer data for determining a driving pattern is presented. A server may receive telematics data originating from a client computing device and combine the telematics data. The server may estimate a gravitational constant to the combined telematics data and generate a function for pitch and a roll angle from the combined telematics data. The server may further determine a driving pattern using at least the pitch and the roll angle.

The present disclosure relates to apparatus (1) for estimating confidence in a vehicle reference velocity (V). The apparatus includes a controller having an electronic processor (21) having an electrical input for receiving at least one first vehicle operating parameter; and an electronic memory device (23) electrically coupled to the electronic processor and having instructions stored therein. The electronic processor (21) is configured to access the memory device (23) and execute the instructions stored therein such that it is operable to monitor the at least one first vehicle operating parameter; and to calculate a confidence value (F1) representing the confidence in the vehicle reference velocity, the confidence value (F1) being calculated in dependence on the vehicle operating parameter.

A method of providing road and vehicle diagnostics, includes providing a vehicle axle system having a first axle half shaft housing, a second axle half shaft housing and a differential housing. Attached to one or more of the housings is one or more tri-axis accelerometers. In communication with the accelerometers is one or more data processors configured to receive and analyze data from the accelerometers. An occurrence of one or more road events is determined by one or more spikes in the Z-direction of the data collected from the accelerometers. A depth of the road event is determined by a magnitude of the positive and negative changes in acceleration of the spike in the Z-direction and a length of road event is determined by an amount of time between two spikes of opposite magnitudes in said Z-direction. Once identified, the time and geographic location of the road event is identified.

A system controls steering of a motor vehicle in case of an imminent collision with an obstacle. The vehicle includes a system to locate the vehicle relative to its lane and to determine a lateral deviation from the lane center, a determination unit for determining the presence of obstacles, a gyrometer for measuring the rotation speed of the vehicle, and a steering device, the steering angle of which can be controlled based on the measurement of a steering angle sensor or the steering torque of which can be controlled. The control system includes a perception device for determining the maximum lateral distance available for movement of the vehicle relative to obstacles, a decision device for transmitting a correction request based on the trajectory of the vehicle and on the lateral maximum distance, and an intervention device for controlling the steering device to correct the trajectory of the vehicle.

An operational assistance method for a vehicle, in particular for a motor vehicle, is provided. A movement of an area of a body of a vehicle occupant is captured and sensor values representative of the movement are provided, sensor values for an area of the body of a vehicle occupant are weighted with one another and are combined to form an acceleration value, and the acceleration value is provided. A weighting factor for a respective sensor value, as the degree of the weighting of the sensor value in the acceleration value, is dependent on the magnitude of the sensor value.

The present disclosure relates to an apparatus (1) for estimation of a vehicle state. The apparatus (1) includes a controller (21) configured to determine a first estimation of the vehicle state in dependence on at least one first vehicle dynamics parameter. A filter coefficient (F.sub.C) is calculated based on a first vehicle operating parameter. An operating frequency of a first signal filter (35) is set in dependence on the determined filter coefficient (F.sub.C) and the first estimation is filtered to generate a first filtered estimation of the vehicle state. The present disclosure also relates to a vehicle; and to a method of estimating a vehicle state.

A tire assembly includes: a tire body; a wheel; and a sensor. The wheel is mounted on the tire body and connected to an axle on a vehicle side. The sensor is arranged on an outer surface of the wheel and measures a physical quantity produced as the vehicle travels.

A device and a method for controlling autonomous driving are provided The device includes non-transitory memory storing instructions executable to control an autonomous driving; and a processor configured to execute the instructions to determine whether a collision has occurred using an acceleration sensor mounted on an airbag control unit during the autonomous driving, determine a collision direction based on a change in acceleration of three axes obtained by the acceleration sensor, and perform an emergency action by controlling at least one of longitudinal direction travel or transverse direction travel based on the collision direction.

A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.