Systems and methods are provided herein for managing scooter fleets based on geolocation boundaries. In certain embodiments, individual scooters of the scooter fleet may be associated with geographical areas in which they are allowed to operate, and such areas may be defined by a geolocation boundary. The geographical areas may be provided to prevent scooters from being used and subsequently left in an undesirable location (for example, at an airport terminal or an area where crime is commonplace).

Techniques described in this application are directed to determining safe path navigation of an autonomous personal mobility device, including a self-driving electric scooter, using sensors and/or data from other sources. The autonomous personal mobility device is configured to generate maps and transform the maps into tile segments that can be shared with other autonomous personal mobility devices. Techniques further include receiving a request for an autonomous personal mobility device at a location, and enabling the autonomous personal mobility device to self-drive to the location.

Respectively a rider of the autonomous scooter may select a manual drive mode to drive without any assistance, or the rider may control the autonomous scooter remotely by a smartphone when riding or not aboard via a smartphone APP whereby the rider may engage a user interface system providing virtual driving control settings linked with an autonomous drive system to control the autonomous scooter, or the rider can manually control the autonomous scooter. Primarily elements of the autonomous scooter may comprise a platform defined by a front end and a rear end, a deck section to place the rider's feet thereon, and having a base supporting a steering column. Accordingly the steering column is rotatably connected by a motorized wheel adapter configured to turn a suspension fork arrangement containing at least one motorized wheel thus steering and balance control of the autonomous scooter, or the steering column is connected to a truck arrangement containing two motorized wheels, whereby the two motorized wheels provide balance and differential propulsion for steering the autonomous scooter. The motorized wheel adapter and the motorized wheels are systematically controlled by an autonomous drive system adapted to control the autonomous scooter during autonomous drive mode setting.

A measurement of the rotation speed of an object is made using a time-of-flight sensor configured to detect a passing of one or more of elements of the object through a given position. The time-of-flight sensor is further mounted on a one-person vehicle configured to protect the one-person vehicle against collisions through the making a time-of-flight measurement of a relative speed between the one-person vehicle and an obstacle.

Disclosed is parallel hybrid drive for a motor vehicle, a motor vehicle, a method for operating a parallel hybrid drive in an all-electric mode, a method for operating a parallel hybrid drive in a direct drive mode, and a method for operating a parallel hybrid drive in a CVT mode. The drive for a motor vehicle includes an electric machine operable as a motor and generator, an internal combustion engine, a drive axle, and an epicyclic gear. The epicyclic gear includes: a first shaft connected to the electric machine; a second shaft connected to the internal combustion engine; and a third shaft connected to the drive axle. A clutch element is configured to firmly connect at least two shafts of the epicyclic gear to each other. A first brake element is configured to prevent rotation of the internal combustion engine in one direction of rotation.

A torque-speed curve or data of load that is used as a standard to determine an external condition in which an electric vehicle is operating such as incline or no incline, head wind or no headwind, high temperature or low temperature. The system compares samples of actual torque-speed of load data to the standard. Based on the comparison, the system determines the external condition (going up a hill, traveling into a headwind, operating at high temperature) or an abnormal operation of the vehicle powertrain, for example, low tire pressure, elevated friction, wheels out of alignment. Based on the determination, the system takes an action to govern a maximum torque output of the motor to control temperature of the vehicle battery; to raise a wind deflector; to govern maximum speed of the vehicle to reduce danger resulting from low tire pressure, elevated powertrain friction or out of alignment wheels; or to initiate an indication of abnormal conditions.

AR-enhanced gameplay includes a map of a course including a plurality of virtual objects, the map corresponding to a location in the real world and defining a track along which participants can ride on personal mobility systems such as scooters. Virtual objects are displayed in the fields of view of participants' augmented reality devices in a positions corresponding to positions in the real world on the course. Proximity of a participant or their personal mobility system with the position of a virtual object in the real world is detected, and in response to the detection of proximity, a performance characteristic of the participant's personal mobility system is modified.

Personal mobility vehicles, their various components, methods and systems for controlling, using, tracking, and/or interacting with personal mobility vehicles, and methods and systems for integrating personal mobility vehicles within dynamic transportation networks so that a personal mobility vehicle (PMV) can be used in combination with a vehicle of a transportation provider to efficiently complete a transportation request are discussed. For example, a PMV may be used in combination with a lane-constrained vehicle to improve travel time between two locations in situations where the time it may take for a lane-constrained vehicle to reach the starting location may be affected by traffic congestion at the starting location. The PMV may transport a transportation requestor from a starting location to an intermediate location away from the traffic congestion to then transfer to a lane-constrained vehicle for the remainder of the trip.

AR-enhanced gameplay includes a map of a course including a plurality of virtual objects, the map corresponding to a location in the real world and defining a track along which participants can ride on personal mobility systems such as scooters. Virtual objects are displayed in the fields of view of participants' augmented reality devices in a positions corresponding to positions in the real world on the course. Proximity of a participant or their personal mobility system with the position of a virtual object in the real world is detected, and in response to the detection of proximity, a performance characteristic of the participant's personal mobility system is modified.

The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.