Low latency of driving assistance is realized in a state where process load on a processor mounted in a vehicle is reduced.

Disclosed is an information processing system, which comprises: an information processor installed on a roadside, and a communication antenna installed on the roadside, wherein the information processor comprises: a vehicle information acquisition unit to acquire vehicle information relating to one or more vehicles to be assisted located in a coverage area covered by the communication antenna, a transmit data generation unit to generate transmit data based on the vehicle information acquired by the vehicle information acquisition unit, and a data sending unit to send the transmit data generated by the transmit data generation unit to the vehicle to be assisted via the communication antenna, and the transmit data includes at least one of vehicle position information indicating the position of the vehicle to be assisted, and drive control information.

Systems, methods, and apparatuses for facilitating rewards are described herein. The system includes internet of things (IoT) devices associated with each of a plurality of users. A reward computing system includes input/output (I/O) devices configured to receive sensor data associated with an environment. The reward computing system is configured to generate a location data and/or an entity positioning data set associated with at least one of the plurality of users and based on the sensor data. The computing system is also configured to determine a behavior of each of the plurality of users. The reward computing system is also configured to generate a plurality of reward tokens and associate the reward tokens with one or more of the plurality of users and based on at least one of the location data set, the entity positioning data set and the behavior of the plurality of users.

Systems, methods, and apparatuses for facilitating rewards are described herein. The system includes internet of things (IoT) devices associated with each of a plurality of users. A reward computing system includes input/output (I/O) devices configured to receive sensor data associated with an environment. The reward computing system is configured to generate a location data and/or an entity positioning data set associated with at least one of the plurality of users and based on the sensor data. The computing system is also configured to determine a behavior of each of the plurality of users. The reward computing system is also configured to generate a plurality of reward tokens and associate the reward tokens with one or more of the plurality of users and based on at least one of the location data set, the entity positioning data set and the behavior of the plurality of users.

The present invention relates to a method for estimating a distance between nodes of an LPWA network. First and second nodes, respectively, successively transmit a narrow band signal at a plurality of carrier frequencies to each other. The second and first nodes, respectively, receive the transmitted signals and demodulate them into baseband signals. Complex values representative of a forward-backward function of the transmission channel between two nodes are obtained from the baseband demodulated signals. These complex values are then provided to a previously supervisingly trained neural network, the neural network giving an estimation of the distance separating the first node and the second node. The present invention also relates to a method for estimating the position of a node in an LPWA network using the above-noted distance estimation method.

The present invention relates to a method for estimating a distance between nodes of an LPWA network. First and second nodes, respectively, successively transmit a narrow band signal at a plurality of carrier frequencies to each other. The second and first nodes, respectively, receive the transmitted signals and demodulate them into baseband signals. Complex values representative of a forward-backward function of the transmission channel between two nodes are obtained from the baseband demodulated signals. These complex values are then provided to a previously supervisingly trained neural network, the neural network giving an estimation of the distance separating the first node and the second node. The present invention also relates to a method for estimating the position of a node in an LPWA network using the above-noted distance estimation method.

A method performed by a wireless device in an Industrial Internet of Things (I-IoT) environment includes determining an availability level of a network and/or an integrity level of a positioning service and/or system at the wireless device. Based on the availability level of the network and/or the integrity level of the positioning service and/or system at the wireless device, the wireless device performs at least one action associated with the positioning service and/or system.

A method performed by a wireless device in an Industrial Internet of Things (I-IoT) environment includes determining an availability level of a network and/or an integrity level of a positioning service and/or system at the wireless device. Based on the availability level of the network and/or the integrity level of the positioning service and/or system at the wireless device, the wireless device performs at least one action associated with the positioning service and/or system.

A control device for an automatic valet parking facility includes: an in-advance obtainment unit configured to obtain, before the vehicle arrives at a specific position on a route to a parking area where automated driving for parking is performed according to a guidance of the control device, (i) characteristics information indicating characteristics of a vehicle that is about to enter the parking area and (ii) identification information of the vehicle; a specific obtainment unit configured to obtain the identification information of the vehicle located at the specific position; and an action unit configured to perform an action for a driver of the vehicle located at the specific position according to the characteristics information, among the characteristics information that has been obtained, corresponding to the identification information obtained from the vehicle located at the specific position.

Quantum satellite-based global networks are provided. A system as provided herein includes a processor and a memory that stores first executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising receiving qubits from a quantum sensor device via a quantum communication channel established between the system and the quantum sensor device; providing quantum input data, derived from the qubits, to a quantum machine learning model; and adjusting a property of a communication network based on an output of the quantum machine learning model, produced in response to the providing of the quantum input data, resulting in an increased performance of a mobile application utilizing resources enabled via the communication network.

Quantum satellite-based global networks are provided. A system as provided herein includes a processor and a memory that stores first executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising receiving qubits from a quantum sensor device via a quantum communication channel established between the system and the quantum sensor device; providing quantum input data, derived from the qubits, to a quantum machine learning model; and adjusting a property of a communication network based on an output of the quantum machine learning model, produced in response to the providing of the quantum input data, resulting in an increased performance of a mobile application utilizing resources enabled via the communication network.