An in-vehicle monitoring and intervention system for detecting whether a driver in a vehicle is drowsy by monitoring a plurality of physiological signals of the driver is provided. The in-vehicle monitoring and intervention system includes at least a processor and an apparatus, the apparatus can be integrated into a seat belt or attached thereto as a discrete hardware apparatus, which includes at least an ECG sensor, a respiratory sensor, an acceleration sensor, a filtering system, and an intervention module. The filtering system further comprises one or more filters for suppressing noise and reducing motion artifacts. The processor is configured to compare the detected physiological signals with the signals stored in a learning module of the in-vehicle monitoring and intervention system for determining the drowsiness state. If the driver is determined to be drowsy, a warning signal is outputted to alert the driver.

Methods, apparatuses, and computer-readable media are described. In one example, a method of controlling a vehicle comprises: receiving, using one or more sensors, a first set of measurements of a set of physical attributes of the vehicle in a motion; determining, based on a motion data model that defines a set of relationships among the set of physical attributes of the vehicle in the motion and based on the first set of measurements, a set of expected measurements of the set of physical attributes; determining whether to use an entirety of the first set of measurements to control an operation of the vehicle based on comparing the first set of measurements and the set of expected measurements; and responsive to determining not to use the entirety of the first set of measurements, controlling the operation of the vehicle based on a second set of measurements.

Provided are a real-time acceleration sensor calibration apparatus for measuring a movement of a vehicle and an acceleration sensor calibration method, the acceleration sensor calibration apparatus including an acceleration sensor configured to measure a triaxial acceleration value, a gyroscope configured to measure a triaxial angular velocity value, an acceleration data calibrator configured to primarily transform a vector of the measured acceleration value using a gravity vector calculated based on the triaxial acceleration value and the triaxial angular velocity value measured by the acceleration sensor and the gyroscope, and a communicator configured to transmit information related to the movement of the vehicle to a server based on calibrated acceleration data.

A method of and system for detecting absolute acceleration along various axes relative to a desired movement vector while moving relative to a gravity source includes steps of determining a vertical acceleration, perpendicular to the desired movement vector and substantially anti-parallel to a gravitational acceleration due to the gravity source; determining a longitudinal acceleration, parallel to the desired movement vector and to output at vertical acceleration signal and a longitudinal acceleration signal; determining an inclination of the desired movement vector relative to the gravitational acceleration; and processing the vertical acceleration signal, the longitudinal acceleration signal, and the inclination signal to produce an absolute vertical acceleration signal and an absolute longitudinal acceleration signal.

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 transforming measurements from an accelerometer of a mobile phone to a reference frame of a vehicle in which the mobile phone is disposed includes classifying the measurements into those caused by the vehicle. Using these measurements, the method detects positive or negative acceleration events, determines a direction of an event with respect to the mobile phone, and determines a direction of the event with respect to the vehicle. Based on the two directions, the measurements are transformed to the reference frame of the vehicle.

A method of determining a position of a mobile device in a vehicle during a drive includes measuring at least one first acceleration magnitude of the mobile device in a gravity direction with at least one sensor of the mobile device, measuring at least one second acceleration magnitude of the mobile device in the gravity direction with the at least one sensor of the mobile device, the at least one second acceleration magnitude separated in time from the at least one first acceleration magnitude, comparing the at least one first acceleration magnitude with the at least one second acceleration magnitude, and based on a result of the comparing, predicting the position of the mobile device in the vehicle.

A sensor unit includes a plurality of terminal members each of which includes a lead portion and an external terminal portion having an external connection end face, a sensor device connected to the lead portions, and a resin member that covers the sensor device and a part of the plurality of terminal members. The lead portion includes a thin wall portion having a thickness thinner than the external terminal portion and a protruding portion protruding from the thin wall portion to an external connection end face side. In a plan view from a direction where the terminal member and the sensor device overlap, the sensor device is disposed at a position overlapping the protruding portion and not overlapping the external terminal portion.

A slope detection system (10, 19, 185C) for a vehicle (100) is provided. The system has a processor (10, 19) that receives, from one or more sensors (185C) arranged to capture data in respect of terrain ahead of the vehicle, terrain information indicative of the topography of an area extending ahead of the vehicle (100). The processor (10, 19), in dependence upon a predicted path of the vehicle (100) over the terrain extending ahead of the vehicle (100), generates, for the predicted path of the vehicle (100), information indicative of an angle of slope of the predicted path, being the slope of the predicted path along a direction of travel of the vehicle (100).

A device for autonomously driving a transportation vehicle having at least one sensor system for sensing a surrounding area of the vehicle, at least one controller for controlling at least one actuator system of the vehicle, and a memory for storing a map of the surroundings, wherein the at least one controller evaluates surroundings data collected by the at least one sensor system, determines the location of the vehicle by the evaluated surroundings data in the map of the surroundings, and controls the at least one actuator system of the vehicle so that a predefined trajectory is travelled autonomously, wherein the controller has an obstacle-detection device to detect obstacles in the surroundings of the vehicle, wherein the at least one sensor system has at least one acceleration sensor, and the obstacle-detection device uses measurement data collected by the at least one acceleration sensor to detect collisions with obstacles.