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.

Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

An approach to determining vehicle usage makes use of a sensor that provides a vibration signal associated with the vehicle, and that vibration signal is used to infer usage. Usage can include distance traveled, optionally associated with particular ranges of speed or road type. In a calibration phase, auxiliary measurements, for instance based on GPS signals, are used to determine a relationship between the vibration signal and usage. In a monitoring phase, the determined relationship is used to infer usage from the vibration signal.

The invention relates to a method for estimating a current wheel circumference of at least one wheel arranged on a vehicle, said method comprising: determining a reference speed of the vehicle at a point in time by means of a reference apparatus, detecting a wheel rotational speed of the at least one wheel at said point in time by means of a wheel rotational speed sensor, estimating a single wheel-circumference value based on the determined reference speed and the detected wheel rotational speed for said point in time by means of a calculation apparatus, storing at least the estimated single wheel-circumference value in a circular buffer for said point in time, estimating a current wheel circumference based on the single wheel-circumference values stored in the circular buffer by the calculation apparatus, outputting the estimated current wheel circumference as a wheel circumference signal.

The invention relates to a method for estimating a current wheel circumference of at least one wheel arranged on a vehicle, said method comprising: determining a reference speed of the vehicle at a point in time by means of a reference apparatus, detecting a wheel rotational speed of the at least one wheel at said point in time by means of a wheel rotational speed sensor, estimating a single wheel-circumference value based on the determined reference speed and the detected wheel rotational speed for said point in time by means of a calculation apparatus, storing at least the estimated single wheel-circumference value in a circular buffer for said point in time, estimating a current wheel circumference based on the single wheel-circumference values stored in the circular buffer by the calculation apparatus, outputting the estimated current wheel circumference as a wheel circumference signal.

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).

Provided is a parking assistance device using a tire pressure monitoring system (TPMS), which accurately calculates a moving distance of a vehicle by reflecting a tire pressure received from the TPMS and performs parking control in response to a parking command generated by using a parking route and a position of the vehicle estimated by the calculated moving distance of the vehicle, thereby improving automatic parking performance of the vehicle to a parking space. The parking assistance device calculates a moving distance of a vehicle moving to a found parking space around the vehicle according to a tire pressure of the vehicle, estimates a position of the vehicle by using the calculated moving distance, and generates a parking command. The moving distance of the vehicle is calculated by using a moving distance per revolution of a tire measured and set according to a tire pressure range to which the tire pressure of the vehicle belongs, a wheel pulse of the tire of the vehicle, and a reference wheel pulse per revolution of the tire.

Provided is a parking assistance device using a tire pressure monitoring system (TPMS), which accurately calculates a moving distance of a vehicle by reflecting a tire pressure received from the TPMS and performs parking control in response to a parking command generated by using a parking route and a position of the vehicle estimated by the calculated moving distance of the vehicle, thereby improving automatic parking performance of the vehicle to a parking space. The parking assistance device calculates a moving distance of a vehicle moving to a found parking space around the vehicle according to a tire pressure of the vehicle, estimates a position of the vehicle by using the calculated moving distance, and generates a parking command. The moving distance of the vehicle is calculated by using a moving distance per revolution of a tire measured and set according to a tire pressure range to which the tire pressure of the vehicle belongs, a wheel pulse of the tire of the vehicle, and a reference wheel pulse per revolution of the tire.

An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.