A system and method vehicle dynamic compliance and utilizing multiple vehicle odometer values is disclosed herein. The system comprises a vehicle (210) comprising an on-board computer (232) with a memory (231) having a vehicle identification number (233), a connector plug (235), and an motorized engine (234), a connected vehicle device (130) comprising a processor, a WiFi radio, a BLUETOOTH radio, a memory, and a connector for mating with the connector plug of the vehicle (210), and a mobile device (110) comprising a graphical user interface (335), a processor (310), a WiFi radio (307), a BLUETOOTH radio (306), and a cellular network interface (308).

A method for parking a motor vehicle curbside by means of an apparatus, wherein, in a predetermined parking area, a height of a curb is detected by a first detection device of the apparatus, a profile of wheel pulses of a respective wheel sensor of at least one wheel is detected during a driving maneuver for curb parking in the predetermined parking area, and a crossing of the curb edge by the at least one wheel is detected by a second detection device of the apparatus. During the crossing of the curb edge, a correction measure for an odometry module of the apparatus is carried out as a function of the height of the curb.

A hub-mountable wheel-rotation detector has an electromagnetic generator to convert rotational mechanical energy into electrical energy sufficient to recharge an internal rechargeable battery and power internal alarm and distance-tracking circuitry. The detector provides a combination of backup alarm and hubodometer functionality in a common device.

A method of image processing is provided. The method may include: determining a candidate tuple from at least two images that are taken at different times, wherein the candidate tuples are determined using at least odometry sensor information. The couple of subsequent images have been detected by a moving image sensor moved by a vehicle. The odometry sensor information is detected by a sensor moved by the vehicle. The method may further include classifying the candidate tuples into a static tuple or a dynamic tuple. The static tuple represents a static object within the couple of subsequent images, and the dynamic tuple represents a moving object within the couple of subsequent images.

A self-position estimation accuracy verification method includes a step of moving a mobile object to a first check point, a step of acquiring first check information, a step of starting a self-position estimation using the first check information as an initial value, a step of moving the mobile object to a second check point while continuing the self-position estimation, a step of acquiring second check information, and a step of calculating a deviation between a position and a posture of the mobile object on the map estimated by the self-position estimation at the second check point and a position and a posture of the mobile object on the map indicated in the second check information, and verifying the accuracy of the self-position estimation based on the deviation.

The present invention relates to a method for calibrating a gyrometer equipping a vehicle. The method includes a step (a) of acquisition, by the gyrometer, of a measured angular velocity of the vehicle, and, by measuring measured values of at least one quantity representative of the angular velocity of the vehicle. It also includes a step (b) of determination, by a data processor, of values of at least one gyrometer calibration parameter minimising a difference between a first estimated angular velocity of the vehicle and a second estimated angular velocity of the vehicle, wherein the first estimated angular velocity is a function of the measured angular velocity and parameters for calibrating the gyrometer, and the second estimated angular velocity is a function of the measured values of said at least one quantity representative of the angular velocity of the vehicle.

A method of providing an interactive personal mobility system, performed by one or more processors, comprises determining an initial pose by visual-inertial odometry performed on images and inertial measurement unit (IMU) data generated by a wearable augmented reality device. Sensor data transmitted from a personal mobility system is received, and sensor fusion is performed on the data received from the personal mobility system to provide an updated pose. Augmented reality effects are displayed on the wearable augmented reality device based on the updated pose.

The invention relates to a method for determining an orientation () of a vehicle relative to a spatially fixed coordinate system (x.sub.0-0-y.sub.0), the method comprising the following steps: determining a traveled distance (S,dS,S) of at least one reference point (P) of the vehicle and/or at least one wheel of the vehicle, and calculating the orientation () of the vehicle taking the traveled distance (S,dS,S) into consideration. The invention further relates to a method based on this principle for determining a position (X.sub.P,Y.sub.P) of a vehicle, to a method for determining an odometry of a vehicle, and to a corresponding control device of a vehicle.

A method of providing an interactive personal mobility system, performed by one or more processors, comprises determining an initial pose by visual-inertial odometry performed on images and inertial measurement unit (IMU) data generated by a wearable augmented reality device. Sensor data transmitted from a personal mobility system is received, and sensor fusion is performed on the data received from the personal mobility system to provide an updated pose. Augmented reality effects are displayed on the wearable augmented reality device based on the updated pose.

A system and method vehicle dynamic compliance and utilizing multiple vehicle odometer values is disclosed herein. The system comprises a vehicle (210) comprising an on-board computer (232) with a memory (231) having a vehicle identification number (233), a connector plug (235), and an motorized engine (234), a connected vehicle device (130) comprising a processor, a WiFi radio, a BLUETOOTH radio, a memory, and a connector for mating with the connector plug of the vehicle (210), and a mobile device (110) comprising a graphical user interface (335), a processor (310), a WiFi radio (307), a BLUETOOTH radio (306), and a cellular network interface (308).