A remote driving system includes: an acquisition unit for acquiring operation information related to an operation of a steering wheel by a user who remotely drives the target vehicle; and a control unit for controlling a resolution and a frame rate of each camera mounted on the target vehicle. When an operation amount of the steering wheel is relatively small, at least one of the resolution and the frame rate of a camera that captures an image of a front region of the target vehicle in a traveling direction is maintained or improved. When the steering wheel has been rotated to one of right and left and the operation amount is relatively large, at least one of the resolution and the frame rate of a camera that captures an image of a region of the one of right and left of the target vehicle is maintained or improved.

An electronic device is for transmitting a video stream, and is able to be embedded in an autonomous motor vehicle. The electronic device includes a convertor for converting the video stream into a video signal transmissible via a transmission channel and a transmitter configured to send, to a monitoring device outside the vehicle, via the transmission channel, a signal for escalating information including said video signal. The electronic transmission device also includes a timestamper configured to repeatedly produce a timestamping signal including at least one piece of information relative to the production date of said timestamping signal. The information escalation signal includes the timestamping signal.

A remote wireless hydraulic cab preferably includes a cab member, a hydraulic sensor block, an electrical bulkhead, a cab bridge controller and a cab transceiver. The cab member preferably includes a cab enclosure, two hydraulic joysticks, two hydraulic treadles and electrical equipment. The hydraulic sensor block includes a sensor block and a plurality of hydraulic pressure sensors. Hydraulic lines from the joysticks and treadles are connected to the sensor block. Pressure measurements from the joysticks and treadles are sent from the plurality of hydraulic pressure sensors to the cab bridge controller. The cab bridge controller sends signals for wireless transmission through a cab wireless transceiver to a frame transceiver. The electrical equipment is supplied with electrical power and transmits signals through the electrical bulkhead. Electrical power to the cab enclosure is supplied through an electrical generator and hydraulic fluid to the joysticks and treadles are supplied through a hydraulic pump.

An embodiment vehicle includes a driving device, a V2V communication device, a V2I communication device, and a detecting device having a field of sensing in front of the vehicle. A controller is configured to control the driving device to perform a platoon of vehicles with a surrounding vehicle based on vehicle control information received from the surrounding vehicle through the V2V communication device and forward detection data from the detecting device, control the V2I communication device to transmit a remote control request to an external server upon determining that a distance between the vehicle and the platoon of vehicles is greater than or equal to a certain distance, control the driving device to drive based on a remote control instruction, and control to join the platoon of vehicles upon determining that the distance between the vehicle and the platoon of vehicles is less than the certain distance.

Unmanned Aerial Vehicles also known as UAVs or Drones, either autonomous or remotely piloted, are classified as drones by the US Federal Aviation Administration (FAA) as weighing under 212 pounds. The system described herein details Autonomous Flight Vehicles (AFV) which weigh over 212 pounds but less than 1,320 pounds which may require either a new classification or a classification such as Sport Light Aircraft, but without the requirement of a pilot due to the safe autonomous flight system such as the Safe Temporal Vector Integration Engine or STeVIE. Safe Autonomous Light Aircraft (SALA) are useful as drone carriers, large scale air package or cargo transport, and even human transport depending on the total lift capability of the platform.

An electronic control unit provided in a vehicle is provided. The electronic control unit comprises a communication unit for receiving information on vehicle electronic devices from one or more vehicle electronic devices provided in the vehicle, and a processor for selecting the information on vehicle electronic devices from any one of the vehicle electronic devices in response to occurrence of an event and controlling the communication unit to first transmit the selected information to a server.

A method of controlling a guide machine and a navigation system. The navigation system includes: a plurality of signal sources deployed in a predetermined area; a guide machine including a signal receiver arranged to receive electromagnetic signals emitted from one or more of the plurality of signal sources; and a processor arranged to process the electromagnetic signals to identify the locations of the signal sources, and thereby to determine a current position of the guide machine with reference to the locations of the signal sources; and the processor is further arranged to determine a path for the guide machine to travel from the current position to a destination location in the predetermined area.

The present disclosure is directed to using anomaly data detected in traffic data to efficiently initiate remote assistance sessions. In particular, a computing system can receive, from a computing device associated with a human-driven vehicle, travel data for the human-driven vehicle. The computer system can identify a navigation anomaly associated with the human-driven vehicle based on the travel data. The computer system can generate, based on the identified navigation anomaly, an anomaly entry for storage in an anomaly database, the anomaly entry comprising geofence data describing a geographic area associated with the navigation anomaly. The computer system can determine, based on location data received from an autonomous vehicle and the geofence data, that the autonomous vehicle is entering the geographic area associated with the navigation anomaly. The computer system can initiate a remote assistance session with the autonomous vehicle.

A method of monitoring a kinematic state of an unmanned aerial vehicle (UAV) is provided. The method comprises obtaining one or more predicted pathlosses between a UAV and one or more base stations at a first time instance, wherein the predicted pathlosses are determined using an estimate of a kinematic state of the UAV at the first time instance and one or more pathloss models developed using a machine-learning process. The method further comprises obtaining one or more measurements of a pathloss between each of the one or more base stations and the UAV at the first time instance, and re-determining the estimate of the kinematic state of the UAV at the first time instance based on the one or more predicted pathlosses and the one or more measurements of the pathloss.

An agricultural amphibious bait feeding boat includes a boat body. A bait feeding device is fixed to one end of the boat body, and a propulsion device is fixed to the other end of the boat body. The boat body includes two foam floating bodies, foam fixing carbon rods, a transverse carbon rod, tube ferrule fixing assemblies, and tee joints. The two foam floating bodies include a left foam floating body and a right foam floating body, the foam fixing carbon rods parallel to each other are respectively arranged above the two foam floating bodies, and the foam floating bodies and the foam fixing carbon rods are fixed through the tube ferrule fixing assemblies The transverse carbon rod is connected to the foam fixing carbon rods through the tee joints, and the left foam floating body and the right foam floating body are fixedly connected to each other.