G16Y10/40

SERVER IN INTERNET-OF-THINGS COMMUNICATION PATH

Radio networks such as Public Land Mobile Networks (PLMNs), user equipment devices (UEs), servers such as Internet-of-Things servers, and core network entities may be adapted to facilitate transfers of connections of wireless devices. For example, a first PLMN may provide restricted access to a UE to assist the UE in finding a second PLMN for a full connection. Entities may be adapted to support for non-coverage related PLMN transfers, such as transfers initiated by UEs, PLMNs, servers, and core network entities, e.g., in response to changing usage, congestion, etc.

TRAVELING VIDEO PROVIDING SYSTEM, APPARATUS, AND METHOD
20230064195 · 2023-03-02 · ·

A video collection server receives traveling videos captured by a plurality of vehicles and stores the traveling videos and position information about positions where the traveling videos are captured in a traveling video database. A video search unit of the video providing server searches the traveling video database when the video distribution request is received from a user, and acquires the traveling video(s) captured by the vehicle traveling in each of one or more sections included in the designated route. A traveling video synthesis unit synthesizes the traveling video of each section. A video distribution unit distributes the synthesized traveling video to a user apparatus as the traveling video when the vehicle travels along the route.

DANGEROUS DRIVING VEHICLE ALERT SYSTEM, DANGEROUS DRIVING VEHICLE ALERT DEVICE AND DANGEROUS DRIVING VEHICLE ALERT PROGRAM, AND COMPUTER-READABLE STORAGE MEDIUM OR STORAGE DEVICE STORING THE PROGRAM
20220327932 · 2022-10-13 ·

A server includes a dangerous driving level calculator and a server-side communicator. The calculator analyzes patterns of driving behavior of analyzed vehicles that are included in data of images based on sent-to-server data to calculate dangerous driving levels of the analyzed vehicles, and compares the levels of the analyzed vehicles with a predetermined value to categorize each analyzed vehicle into a danger vehicle if its level is higher than the predetermined value. The server-side communicator transmits sent-to-vehicle data to vehicle-side communicators of alerted vehicles at second predetermined timing, and receives the sent-to-server data at first timing. The sent-to-vehicle data includes the level of the danger vehicle and positional information that represents a position at which an image of the danger vehicle is captured. The level of the danger vehicle can be indicated on road maps on vehicle-side displays of the alerted vehicles in accordance the position of the danger vehicle.

METHODS AND SYSTEMS FOR MANAGING PARKING LOTS IN SMART CITIES BASED ON THE INTERNET OF THINGS

The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.

METHODS AND SYSTEMS FOR MANAGING PARKING LOTS IN SMART CITIES BASED ON THE INTERNET OF THINGS

The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.

DETERMINE PASSENGER DROP-OFF LOCATION BASED ON INFLUENCING FACTORS

An embodiment for determining a drop-off location of a passenger is provided. The embodiment may include receiving a pick-up location and drop-off location from one or more passengers. The embodiment may also include identifying the one or more passengers to be picked up from a passenger profile. The embodiment may further include identifying one or more factors associated with each passenger. The embodiment may also include in response to determining the drop-off location is not appropriate, notifying the one or more passengers of an alternative drop-off location. The embodiment may further include in response to determining the drop-off location is appropriate, dropping the one or more passengers off at the drop-off location. The embodiment may also include in response to determining the one or more passengers are not responsive to the notification, dropping each passenger who did not respond off at the alternative drop-off location.

Mitigating interference in high-density wireless networks using variable attenuators

In one embodiment, a supervisory process receives wireless signal quality measurements obtained by a particular node of a wireless network. The wireless network comprising a plurality of mobile nodes. The supervisory process computes, based on the wireless signal quality measurements, an optimal amount of radio frequency attenuation that the particular node should use. The supervisory process generates an attenuation configuration for the particular node that specifies the optimal amount of radio frequency attenuation that the particular node should use. The supervisory process pushes the attenuation configuration to a variable attenuator of the particular node.

Mitigating interference in high-density wireless networks using variable attenuators

In one embodiment, a supervisory process receives wireless signal quality measurements obtained by a particular node of a wireless network. The wireless network comprising a plurality of mobile nodes. The supervisory process computes, based on the wireless signal quality measurements, an optimal amount of radio frequency attenuation that the particular node should use. The supervisory process generates an attenuation configuration for the particular node that specifies the optimal amount of radio frequency attenuation that the particular node should use. The supervisory process pushes the attenuation configuration to a variable attenuator of the particular node.

IN-VEHICLE APPARATUS, ROADSIDE APPARATUS, AND COMMUNICATION METHOD

An in-vehicle apparatus to be mounted in a vehicle includes receiving circuitry, which, in operation, receives, from a roadside apparatus providing a distribution service of a road video, an advertisement message indicating that the distribution service is provided; control circuitry, which, in operation, generates, based on reception of the advertisement message, a message regarding transmission of the road video to the roadside apparatus; and transmitting circuitry, which, in operation, transmits the message to the roadside apparatus.

CENTRAL APPARATUS, MAP GENERATION SYSTEM, AND MAP GENERATION METHOD

A technique is provided with which it is possible to appropriately reduce communication data volume. A central apparatus communicates with a mobile terminal that is movable with a mobile body. The mobile terminal includes extraction-information generation means that generates extraction information by extraction from measurement information. The central apparatus includes map-information generation means that generates map information based on the extraction information transmitted from the mobile terminal to the central apparatus, and map generation control means that evaluates completeness of the map information generated by the map-information generation means and generates command information based on the completeness.