Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques for dynamic device quality evaluation. A computing platform may receive driving data from a mobile device. Using the driving data, the computing platform may compute a plurality of driving metrics, which may include: a geopoint expectation rate score, a trips per day rank score, a consecutive geopoint time difference score, a global positioning system (GPS) accuracy rating score, and a distance between consecutive trips score. By applying a machine learning model to the plurality of driving metrics, the computing platform may compute a device evaluation score, indicating a quality of the driving data received from the mobile device. Based on the device evaluation score, the computing platform may set flags, which may be accessible by a driver score generation platform, causing the driver score generation platform to perform an action with regard to the mobile device.

An electronic device is provided. The electronic device includes a camera, a display, a memory, a location positioning circuitry, and at least one processor operatively coupled to the camera, the display, the memory, and the location positioning circuitry, wherein the at least one processor may determine a first position and a first direction of a user through the location positioning circuitry, obtain surrounding information about the first position from a map database, generate scan request information including a reference target from the map database on the basis of the surrounding information, display a capture guide on the display such that a capture target corresponding to the reference target is captured with the camera by using the scan request information, determine a second position and a second direction by using the capture target and the reference target, and display the second position and the second direction on the display.

An example operation includes one or more of determining a distance traveled by a transport using data points from a sensor, determining an error exists with one or more of the data points, correcting the error by the sensor, discarding one or more of the data points when the error is above a threshold or when the error cannot be corrected and determining a minimum reasonable path of the transport using a remaining portion of the data points.

An example operation includes one or more of determining a distance traveled by a transport using data points from a sensor, determining an error exists with one or more of the data points, correcting the error by the sensor, discarding one or more of the data points when the error is above a threshold or when the error cannot be corrected and determining a minimum reasonable path of the transport using a remaining portion of the data points.

A positioned location adjustment method and apparatus. The method includes: a first vehicle sends a request message to a plurality of reference vehicles, where the request message includes current location information of the first vehicle; the first vehicle receives a response message from the reference vehicle, where the response message includes positioned location information of the reference vehicle, a positioning error value of the reference vehicle, and vehicle identifier information of the reference vehicle; the first vehicle determines a second vehicle from the plurality of reference vehicles based on the positioning error value of the reference vehicle; and the first vehicle adjusts the first positioned location information based on positioned location information of the second vehicle and vehicle identifier information of the second vehicle, to obtain second positioned location information. According to the embodiments, positioning precision and accuracy can be improved.

Methods, systems, devices and apparatuses for a vehicle control system. The vehicle control system includes a memory. The memory is configured to store multiple charging events that activate multiple charging plans. The vehicle control system includes a navigation unit that is configured to obtain a current location of the vehicle. The vehicle control system includes an electronic control unit. The electronic control unit is configured to determine that the vehicle is within a threshold distance of the first charging event. The electronic control unit is configured to control an operation of the vehicle to prepare the vehicle to charge or discharge the battery based on a first charging plan when the vehicle is within the threshold distance of a first charging event.

The present invention relates to a presence availability discovery device comprising a series of computing devices, coupled via a network connector, to match connected worker(s) to a multimodal dialog initiated by an end user, comprising: a dialog identifier device, a context identifier device, a relevance classifier device, a connected worker identifier device, a connected worker router, a memory, and a controller. As a novel aspect, the connected worker identifier device parses a relevance discovery report created by the relevance classifier device to create a list of connected workers most responsive to the multimodal dialog and the end user, by correlating weighted intents against a list of connected workers, whereby the list of the one or more connected workers further comprises each of the one or more connected workers listed having an associated identifier, at least one availability marker, at least one skill, and at least one skill ranking.

A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

A fill level measuring device for measuring a fill level of a container including a fill level measuring circuit that measures a filling level of a container, at least one transmitter/receiver that communicates with data processing circuitry, at least one fastener that fastens the fill level measuring device to a surface of the container, at least one monitoring circuit that monitors a fastening of the fill level measuring device to the container by the at least one fastener, the monitoring circuit further transmits an alarm message to the data processing circuitry via the transmitter/receiver when the monitoring circuit detects a loosening of the fastening of the fill level measuring device from the container.