A method and apparatus for configuring a bi-directional channel in a wireless communication system is provided. A user equipment (UE) configures the bi-directional channel which is used for either an uplink (UL) channel or a sidelink (SL) channel, and transmits data via at least one of the UL channel or the SL channel. The bi-direction channel may be used for vehicle-to-everything (V2X) communication.

Methods, apparatuses, systems, and computer program products are provided. An example method comprises receiving a change trigger; and providing two or more map versions to a plurality of vehicle apparatuses. The map versions may comprise a stable map version and a changed map version. The example method further comprises receiving two or more responses from at least two of the plurality of vehicle apparatuses. A response comprises an indicator of a preferred map version selected by a vehicle apparatus of the plurality of vehicle apparatuses from the two or more map versions. The example method further comprises analyzing the responses to determine a most preferred map version; and when it is determined that the most preferred map version is a changed map version, updating one or more map databases based at least in part on the changed map version.

A functional device is disclosed that can collect and process data/information/parameter values from one or more sensors and compares the same with one or more predefined/threshold value to suggest one or more actions and/or generate alerts/messages/suggestions to be performed by one or a combination of remote system, wearer, home automation network, healthcare provider, doctor, caretaker, among other stakeholders. Communication between the functional device, home automation server and a computational server that stores the data is also disclosed.

A method for regulating vehicle access comprises receiving, from an electronic device of a user, a request to access a vehicle. The vehicle can be disposed at a designated geographic location. Next, geographic information of the user is received from the electronic device. The geographic information is determined with the aid of the electronic device of the user. The user is then provided access to the vehicle if, based on the received geographic information, a geographic location of the user is within a given distance from the designated geographic location of the vehicle.

Systems and methods are provided for authorizing a user to access an access-controlled environment. The system includes a system server platform that communicates with mobile devices (e.g., smartphones) and on-board vehicle computing devices accessed by users. The embodiments enable a series of operations whereby a user accessing a vehicle is prompted to biometrically authenticate using the user's smartphone or on-board vehicle computer. In addition, the system can further authorize the user and electronically facilitate access to the vehicle as well as perform other authorized operations relating to the use of the vehicle. In addition the vehicle access system integrates with various computing devices and computer-based services accessible to the user. The systems and methods also facilitate active monitoring of the vehicle occupants and environmental conditions using optical sensors and the like so as to enhance security, convenience and safety of the occupants during use of the vehicle.

Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Systems and methods that use adaptive control of communication protocol parameters in a network of moving things. Each network device may share information identifying communication protocol parameters used by the network device through periodic broadcasts, which may be received by neighboring network devices that are within communication range. The neighboring network devices may then adjust their own communication protocol parameters accordingly when attempting to communicate with the first network device and their own neighboring network devices. Network devices that have not received the shared information may use information about their geographic location and the geographic location of neighboring network devices to estimate values of some communication protocol parameters that will provide more effective communication.