Systems and methods for redundant braking and/or of remotely piloted vehicles are described. A redundant braking system includes a first onboard computing unit configured to receive sync data regularly from a main computing unit, receive heartbeat signal through a communication network from a remote pilot control unit, determine network failure if the heartbeat signal is not received for more than a threshold period of time, and generate a braking command. The system includes arrangements to activate brakes of the vehicle based on the braking command received from the local computing unit. The system may also generate a steering command to change the lane of the vehicle and park at a safe spot.

The present invention relates to a control method of a cloud server capable of communicating with an autonomous mobile robot (AMR), wherein the control method comprises the steps of: receiving, from a mobile phone or a delivery service-related server, address information, delivery product information, and at least one of a drop location-related image or a capture image; generating a first landmark on the basis of the received address information; and generating a second landmark on the basis of the received delivery product information.

An information processing system according to an embodiment includes: an acquisition unit that acquires a radio wave condition in an environment, and a creation unit that creates an operation plan on the basis of the radio wave condition and radio field intensity necessary for transmitting video data to be used for distribution.

A platooning assistance device and a program with which it is possible to distribute the effect of platooning, and make payment. The platooning assistance device lets each of a plurality of vehicles forming a platoon have: a transaction data generation unit that generates platoon identification information identifying the platoon, vehicle identification information identifying the vehicle, and fuel consumption of the vehicle during platooning as transaction data; and a communication unit that transmits the generated transaction data to a network, and receives, from the network, data is the transaction data of each of the plurality of vehicles, and approved by a blockchain function. Any one of the plurality of vehicles has: a storage unit that stores smart contract data having a programmed, process for distributing the effect of platooning and making payment; and an execution unit that executes the process, on the basis of the approved data, in the blockchain.

An operation system performs autonomous operation by using an operation server for an autonomous driving vehicle. The operation server includes a memory unit containing three-dimensional map data. An autonomous driving vehicle connects to the operation server via a wireless network. A vehicle control unit creates a traveling route based on the map data received and, when an elevator of a building is to be used, creates elevator usage information and elevator control information, including the boarding and exiting floors. The elevator is equipped with an elevator control unit that is connected to the operation server to control ascending and descending of an elevator cage. A control unit of the autonomous driving vehicle transmits the elevator usage information and the elevator control information to the elevator control unit. The elevator control unit gives a voice announcement from a voice output unit in the elevator cage.

The present disclosure relates to the field of unmanned aerial vehicles (UAV), and discloses a gimbal control method, a controller, an unmanned aerial vehicle and an unmanned aerial vehicle inspection system. The gimbal control method, applied to a UAV, acquires inspection information about the UAV, including an observation flight leg, an observation interval corresponding to the observation flight leg, a total flight range corresponding to the observation interval and the current flight range. Then, the observation progress of the UAV is determined according to the current flight range and the total flight range. A first position, position of center point of the field of view of the nacelle of UAV, is determined according to the observation progress and the observation interval. Finally, the angle of the gimbal of the UAV is controlled according to the first position and the current position of the UAV.

Cellular devices such as smartphones, smart watches, tablets, phones that are not smart and any form of devices that use cellular communications can be located using cellular triangulation. Current commercial cellular communication devices provide accurate information within a range of 10 or more meters. Also, sometimes due to improper coverage of an area by a commercial cellular network, the location information would be bad to zero. Also in some emergency situations, cellular towers may be destroyed or malfunction or cannot be used. In case of emergency situations, if emergency personnel use drones enabled with cellular technology from a close range using triangulation, this can provide highly accurate location information of the victims and can also help communicate with the victim and help them out of danger in a safe manner.

A remote control system that remotely controls an operation of a control target. The system includes a remote control device; and a prediction processing device. The remote control device includes a transmitter that transmits a control signal for controlling an operation of a remote control target to the control target, and the prediction processing device includes a delay time prediction processing unit that predicts a delay time from transmission of the control signal from the remote control device to feedback to control of the operation of the remote control target. The prediction processing device further includes a generation unit that generates a control signal for controlling an operation for the remote control device.

The present embodiment relates to a cloud-based robot control method for controlling a plurality of robots which are positioned in a plurality of spaces divided arbitrarily, the method comprising the steps of: generating a control base model which can be applied to the plurality of robots in a cloud server; distributing the control base model to edge servers allocated to respective spaces; upgrading the control base model in accordance with the plurality of robots of a space, in the edge server; directly transmitting the upgraded control model from the edge server to another edge server; and controlling the plurality of robots by means of the upgraded control model in the edge server. Therefore, by sharing a deep-learning model among edge servers, supporting heterogeneous robots and heterogeneous services is possible. Further, a base deep-learning model from the cloud server is tuned into a customized deep-learning model to be suitable for respective robots in the edge server, and the deep-learning model is upgraded to an adaptive deep-learning model to be suitable for a service provided by respective robots, and thus an optimized service can be provided.

A system used in a factory for manufacturing a vehicle includes: a remote control unit remotely controlling a vehicle capable of running in a factory in a manufacturing process at the factory, the vehicle including a communication device having a communication function for remote control and a secondary battery for running; a state-of-charge acquisition unit acquiring a state of charge of the secondary battery; and a state-of-charge adjustment determination unit acquiring a target value of the state of charge and determining whether or not to adjust the state of charge using the acquired target value and a current state of charge. When the state-of-charge adjustment determination unit determines that the state of charge is to be adjusted, the remote control unit executes a state-of-charge adjustment process by the remote control of the vehicle, thereby bringing the state of charge closer to the target value, wherein the state-of-charge adjustment process includes at least one of a discharging process for discharging the secondary battery and a charging process for charging the secondary battery.