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).

A tire proposal system that proposes a tire of a vehicle to a user includes a processing unit that proposes an appropriate tire that is a tire appropriate for the vehicle based on a mileage and a driving time of each trip of the vehicle. With such processing, the appropriate tire is proposed to the user considering a traveling pattern (usage tendency) of the vehicle, which can be grasped from the mileage and the driving time of the each trip of the vehicle, thereby a tire appropriate for the traveling pattern of the vehicle can be proposed to the user as the appropriate tire.

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 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.

A tire proposal system that proposes a tire of a vehicle to a user includes a processing unit that proposes an appropriate tire that is a tire appropriate for the vehicle based on a mileage and a driving time of each trip of the vehicle. With such processing, the appropriate tire is proposed to the user considering a traveling pattern (usage tendency) of the vehicle, which can be grasped from the mileage and the driving time of the each trip of the vehicle, thereby a tire appropriate for the traveling pattern of the vehicle can be proposed to the user as the appropriate tire.

An electronic device and a method for generating personal mobility device-usage recommendations based on user activity tracking is provided. The electronic device monitors a first set of activities associated with a user. The electronic device determines first information indicating a first time period associated with the monitored first set of activities. The electronic device receives second information indicating a second time period associated with a usage of a personal mobility device to perform a second set of activities. The electronic device compares the determined first information with the received second information. The first set of activities are associated with the second set of activities. The electronic device further generates recommendations associated with the usage of the personal mobility device by the user, based on the comparison of the determined first information with the received second information. The electronic device controls a display device to display the generated recommendations.

The present invention relates to a method for calibrating a gyrometer (11) equipping a vehicle (1), the method being characterised in that it comprises the steps of: (a) Acquisition by the gyrometer (11), of a measured angular velocity of the vehicle (1), and by means for measuring (20) at least one quantity representative of the angular velocity of the vehicle (1), of measured values of said at least one quantity representative of the angular velocity of the vehicle (1); (b) Determination by data processing means (21) of values of at least one parameter for calibrating the gyrometer (11) minimising a difference between a first estimated angular velocity of the vehicle (1) and a second estimated angular velocity of the vehicle (1), the first estimated angular velocity of the vehicle (1) being a function of the measured angular velocity and parameters for calibrating the gyrometer (11), and the second estimated angular velocity of the vehicle (1) being a function of the measured values of said at least one quantity representative of the angular velocity of the vehicle (1).

Absolute position data (605) of a machine are determined for respective multiple times (t.1, t.3, t.5, t.8, t.11), and odometry position data of the machine are also determined. A pose graph (661) is generated, wherein edges (672) of the pose graph (661) correspond to the odometry position data, and nodes (671) of the pose graph (661) correspond to the absolute position data (605). The pose graph (661) is optimized to obtain an estimated position. Optionally, the odometry can also be estimated. A driver assistance functionality of the machine, for example a motor vehicle, can be controlled optionally on the basis of the estimated position. For example, the driver assistance functionality can relate to autonomous driving.

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).