Patent classifications
G05D1/0022
ARTIFICIAL INTELLIGENCE SYSTEM TRAINED BY ROBOTIC PROCESS AUTOMATION SYSTEM AUTOMATICALLY CONTROLLING VEHICLE FOR USER
A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.
THREE DIFFERENT NEURAL NETWORKS TO OPTIMIZE THE STATE OF THE VEHICLE USING SOCIAL DATA
A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.
CONTROLLING DELIVERY VIA UNMANNED DELIVERY SERVICE THROUGH ALLOCATED NETWORK RESOURCES
An unmanned vehicle control method includes acquiring a delivery request for an item, the delivery request comprising delivery information of the item, and determining, according to the delivery information, predicted travelling data associated with delivering the item and at least one of network coverage or network connection quality associated with the predicted travelling data. The method further includes allocating network resources according to the at least one of the network coverage or the network connection quality of the predicted travelling data, and generating a remote driving control instruction according to the predicted travelling data. The method further includes transmitting the remote driving control instruction to an unmanned vehicle using the allocated network resources, so as to cause the unmanned vehicle to drive based on the remote driving control instruction, the unmanned vehicle being configured to transport the item.
Systems and methods for performing remote maintenance
Various embodiments provide systems and/or methods for automated maintenance, delivery, retrieval, and/or communications using drones.
Remote control apparatus, system, method, and program
A remote control apparatus performs: calculating a path and a moving speed to reach a desired destination from a current position of the control target apparatus; measuring a communication delay time between the remote control apparatus and the control target apparatus; estimating an overshoot region based on the communication delay time, a stored size of the control target apparatus, and the moving speed; predicting whether the control target apparatus will contact with a peripheral object(s), based on the path, the overshoot region, and stored peripheral object information of the control target apparatus; calculating the moving speed information to be given to the control target apparatus so that a moving direction of the control target apparatus changes by a predetermined value or more when predicted that the control target apparatus will contact with a peripheral object(s); and transmitting a control signal including the moving speed information to the control target apparatus.
User equipment, system, and control method for controlling drone
Provided is a user equipment for controlling a drone. The user equipment analyzes an original video to control the drone to photograph a reproduction video giving a feeling identical to or similar to the original video. An electronic device may be connected to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.
Third-party vehicle operator sign-in
Systems and methods to authenticate a vehicle operator for an autonomous vehicle on a vehicle service platform are provided. In one example embodiment, a computer-implemented method includes obtaining authentication request data indicative of an authentication request, the authentication request data including at least an operator identifier associated with the vehicle operator and a vehicle identifier associated with the autonomous vehicle. The method includes providing a service code associated with the authentication request to the autonomous vehicle. The method includes obtaining from a user device in response to providing the service code to the autonomous vehicle, operator data associated with the authentication request, the operator data including the service code. The method includes determining an authentication result associated with the authentication request based at least in part on the service code and the operator data. The method includes providing the authentication result to the user device.
REMOTE CONTROL SYSTEM FOR A VEHICLE AND METHOD FOR OPERATING SAID REMOTE CONTROL SYSTEM
A remote control system for a vehicle having an onboard vehicle controller for controlling vehicle functions and a mobile radio remote control, connected to the vehicle controller in a signal-transmitting manner, for remotely controlling the vehicle functions according to a location of the radio remote control relative to the vehicle. The vehicle controller and the radio remote control each have at least one antenna for wireless signal transmission between the vehicle controller and the radio remote control. The antenna of the radio remote control has a direction-dependent antenna characteristic. At least one spatial position of the antenna of the radio remote control can be determined automatically by a position sensor device of the radio remote control, and an automatic determination of a distance or spatial location of the radio remote control relative to the vehicle can be processed according to the determined spatial position of the antenna.
SITUATIONAL AWARENESS ROBOT
A system and methods for assessing an environment are disclosed. A method includes causing a robot to transmit data to first and second user devices, causing the robot to execute a first action, and, responsive to a second instruction, causing the robot to execute a second action. At least one user device is outside the environment of the robot. At least one action includes recording a video of at least a portion of the environment, displaying the video in real time on both user devices, and storing the video on a cloud-based network. The other action includes determining a first physical location of the robot, determining a desired second physical location of the robot, and propelling the robot from the first location to the second location. Determining the desired second location is responsive to detecting a touch on a touchscreen video feed displaying the video in real time.
IN-VEHICLE WIRELESS COMMUNICATION APPARATUS, WIRELESS COMMUNICATION SYSTEM, WIRELESS COMMUNICATION APPARATUS, AND VEHICLE CONTROL METHOD
Provided are an in-vehicle wireless communication apparatus, a wireless communication system, a wireless communication apparatus, and a vehicle control method configured to realize prompt external control of a vehicle. An in-vehicle wireless communication apparatus according to the present embodiment includes a wireless communication unit configured to perform wireless communication with an out-of-vehicle apparatus installed outside the vehicle, and a processing unit configured to perform processing related to communication, and the processing unit transmits information regarding a data format of control data to be output to an in-vehicle network by an in-vehicle control apparatus that controls the vehicle, to the out-of-vehicle apparatus using the wireless communication unit, receives data transmitted from the out-of-vehicle apparatus using the wireless communication unit, the data including control data having the data format, and outputs the control data included in the received data to the in-vehicle network.