H04W4/44

V2X communication device and secured communication method thereof
11570621 · 2023-01-31 · ·

Disclosed is a method for secured communication by a V2X communication device. A method for secured communication by a V2X communication device comprises the steps of: receiving a message on the basis of V2X communication; extracting adaptive certificate pre-distribution (ACPD) target information when the message includes the ACPD target information; pre-authenticating a short-term certificate; and transferring the pre-authenticated short-term certificate so that the pre-authenticated short-term certificate can be broadcasted at a predicted position.

V2X communication device and secured communication method thereof
11570621 · 2023-01-31 · ·

Disclosed is a method for secured communication by a V2X communication device. A method for secured communication by a V2X communication device comprises the steps of: receiving a message on the basis of V2X communication; extracting adaptive certificate pre-distribution (ACPD) target information when the message includes the ACPD target information; pre-authenticating a short-term certificate; and transferring the pre-authenticated short-term certificate so that the pre-authenticated short-term certificate can be broadcasted at a predicted position.

Resource allocation and segmentation in wireless systems

Methods, systems, and devices for wireless communications are described that may enable a user equipment (UE) to transmit sidelink data within an interference avoidance resource scheduling scheme. For example, a UE may determine to segment a data packet for transmission in a vehicle-to-everything (V2x) system (e.g., to ensure that each segment fits within one transmission time interval (TTI)). In some cases, a UE may identify a data packet for transmission, may determine that the size of the data packet exceeds a threshold size, may segment the data packet to ensure each segment fits within one TTI, and may transmit the data packet segments (e.g., to additional UEs), where said transmissions may be discontinuous. In some examples, a UE may determine to segment the data packet and then encode the data packet. Additionally or alternatively, the UE may determine to encode the data packet and then segment the data packet.

Resource allocation and segmentation in wireless systems

Methods, systems, and devices for wireless communications are described that may enable a user equipment (UE) to transmit sidelink data within an interference avoidance resource scheduling scheme. For example, a UE may determine to segment a data packet for transmission in a vehicle-to-everything (V2x) system (e.g., to ensure that each segment fits within one transmission time interval (TTI)). In some cases, a UE may identify a data packet for transmission, may determine that the size of the data packet exceeds a threshold size, may segment the data packet to ensure each segment fits within one TTI, and may transmit the data packet segments (e.g., to additional UEs), where said transmissions may be discontinuous. In some examples, a UE may determine to segment the data packet and then encode the data packet. Additionally or alternatively, the UE may determine to encode the data packet and then segment the data packet.

Automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll

The present disclosure is enclosed in the area of validation of vehicles in road tolls, which may also be designated as tolling systems. The present disclosure includes an automated computational method for the determination of the validity of the passage of a vehicle in a toll which includes two detection modes of a vehicle, through optical means and a mobile device receiving a wireless beacon with unique information associated with the toll and subsequently in connection with a remote backend server. The wireless beacon is a simple type of message which does not require that the mobile device and a fixed wireless device establish a connection. Such feature is one particularly relevant in the applications of the present disclosure, as it highly improves the efficacy of the receipt of the unique information associated with the toll by the mobile device. The present disclosure further includes a corresponding system.

Automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll

The present disclosure is enclosed in the area of validation of vehicles in road tolls, which may also be designated as tolling systems. The present disclosure includes an automated computational method for the determination of the validity of the passage of a vehicle in a toll which includes two detection modes of a vehicle, through optical means and a mobile device receiving a wireless beacon with unique information associated with the toll and subsequently in connection with a remote backend server. The wireless beacon is a simple type of message which does not require that the mobile device and a fixed wireless device establish a connection. Such feature is one particularly relevant in the applications of the present disclosure, as it highly improves the efficacy of the receipt of the unique information associated with the toll by the mobile device. The present disclosure further includes a corresponding system.

Triage via machine learning of individuals associated with an event

An approach for triaging injured individuals. The system receives data from one or more mobile computing devices, wherein data comprises a first location associated with an event, video data and audio data and the system analyze the received data. And the system matches one or more medical personnel with one or more injured individual of the event and generates an output list, wherein the output list comprises a second location to transport the injured individual. Furthermore, the system notifies one or more transportation personnel of the second location for transport and notifies one or more personnel at the second location of the arrival of the injured individual.

Triage via machine learning of individuals associated with an event

An approach for triaging injured individuals. The system receives data from one or more mobile computing devices, wherein data comprises a first location associated with an event, video data and audio data and the system analyze the received data. And the system matches one or more medical personnel with one or more injured individual of the event and generates an output list, wherein the output list comprises a second location to transport the injured individual. Furthermore, the system notifies one or more transportation personnel of the second location for transport and notifies one or more personnel at the second location of the arrival of the injured individual.

Gateway retrieval alert device for aircraft pushback operations

A gateway retrieval alert device is configured for use in an aircraft ground support system. The gateway retrieval alert device is connected to an intercom gateway, either through a direct wireless connection or through a direct connection to a headset of a tug operator, the headset in turn being wirelessly connected to the intercom gateway. The integrity of the wireless link to the intercom gateway is monitored, and when the integrity of the link falls below a set threshold, an alert is issued. The alert is issued externally to the communication network between the ground crew and pilot.

Vehicle trajectory prediction near or at traffic signal

A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance d.sub.x and a longitudinal host vehicle speed v.sub.x that are each taken when the human-driven host vehicle approaches the traffic signal; obtaining a traffic light signal phase P.sub.t and an traffic light signal timing T.sub.t; obtaining a time of day TOD; providing the host vehicle-traffic light distance d.sub.x, the longitudinal host vehicle speed v.sub.x, the traffic light signal phase P.sub.t, the traffic light signal timing T.sub.t, and the time of day TOD as input into an artificial intelligence (AI) vehicle trajectory prediction application, wherein the AI vehicle trajectory prediction application implements an AI vehicle trajectory prediction model; and determining the predicted trajectory of the human-driven host vehicle using the AI vehicle trajectory prediction application.