The disclosed embodiments include a onboard driver distraction determination system. The determination system includes a onboard sensing and computing system(s), which includes inertial sensor(s), internal sensor(s), and external sensor(s). The onboard system samples data from the sensor(s) during a driving session to determine steering activity metrics and driver behavior. A steering activity metric is a representation of the steering inputs by the driver during the driving session. Driver behavior is a representation of how distracted the driver is during the driving session. By performing the above mentioned steps, the system can provide an analysis of driver distraction and optionally, take control of the vehicle to avoid aberrant behavior.

An anti-motion sickness device fitted to a motor vehicle including a triaxial accelerometer to detect the vehicle accelerations along three axes and to emit a corresponding acceleration signal; a display component of light markers to form at least one first and second artificial horizon lines at first and second inner surface, respectively of the motor vehicle. The device includes a control unit for receiving the acceleration signals and for driving the display wherein the artificial horizon lines are aligned in a horizontal plane perpendicular or substantially perpendicular to the gravity vector regardless of vehicle accelerations. The control unit is configured to process the acceleration signals, prior to the control of the display to determine in real time an acceleration frequency according to each of the accelerometer axes and to drive the display only when the acceleration frequency is below a threshold frequency, below which the motion sickness likely occurs.

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.

An anti-motion sickness device for a motor vehicle includes a triaxial accelerometer to detect vehicle accelerations along three axes and to emit a corresponding acceleration signal; a display component of light markers to form two artificial horizon lines at two inner surfaces, respectively of the vehicle. The horizon lines are perpendicular or substantially perpendicular to each other. The device includes a control unit for receiving the acceleration signals emitted by the accelerometer and capable of driving the display component such that the horizon lines are aligned in a horizontal plane, perpendicular or substantially perpendicular to the gravity vector regardless of vehicle accelerations. The position of the horizontal plane along a direction parallel to the gravity vector varies as a function of a physical parameter related to the person sitting in the vehicle by being positioned adjacent the first inner surface and in front of the second inner surface.

The invention is a method of characterizing a road for at least one route travelled by at least one road user, with sensors: a three-axis accelerometer (ACC) and a geolocation sensor (GPS). The method comprises a measurement step (MES), a measurement processing step for disregarding (AFF) the effects related to the road user's speed in order to determine vibrations due to the road roughness, and an analysis of the vibrations to characterize (CAR) the condition of the road.

This monitoring device comprises: an acceleration acquisition unit for acquiring acceleration data of a vehicle traveling along a track; an acceleration effective value acquisition unit for acquiring a plurality of acceleration effective values obtained by applying a bandpass filter for each of a plurality of constant specific bandwidths to the acceleration data; a corrected acceleration calculation unit for calculating a corrected acceleration on the basis of each of the acceleration effective values of the respective constant specific bandwidths and predetermined correction coefficients corresponding to the respective constant specific bandwidths; and an abnormality detection unit for detecting an abnormality of the vehicle or of the track on the basis of the magnitude of the corrected acceleration.

The assembly mounted on a moving device includes an element, an optical system configured to form a high resolution image near an optical axis in a first region of a light receiving surface of the element and form a low resolution image of a peripheral portion separated from the optical axis in a second region wider than the first region of the light receiving surface of the element, a generation unit configured to generate a first captured image from pixel data in the first region and generate a second captured image from pixel data in the second region, and a control unit configured to selectively display the first captured image or the second captured image on a display unit in accordance with a moving direction of the moving device.

Operating an autonomous machine using analysis of machine vibration while it is operational. Accelerometers are used to measure the machines vibrations while it is being operated. If the vibrations exceed a predetermined acceleration a controller adjust the velocity of the machine to prevent/reduce further vibrations.

Methods and systems are provided for controlling an autonomous vehicle. In one embodiment, a method includes: A method of controlling an autonomous vehicle, comprising: receiving, by a processor, a first set of data obtained from an inertial measurement unit of the vehicle; receiving, by the processor, a second set of data obtained from a global positioning system of the vehicle; receiving, by the processor, a third set of data obtained from a camera of the vehicle; determining, by the processor, at least two vehicle states relative to markings of a lane by processing the first set of data, the second set of data, and the third set of data as measurement with an extended Kalman filter; and controlling, by the processor, the vehicle based on the at least two vehicle states.

A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.