Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Autonomous vehicles are an exciting prospect to the future of driving. However, concerns about the decision-making made by the AI controlling a vehicle has been of concern, particularly in light of high-profile accidents. We can alleviate some concern, introduce better decisions, and also train an AI to make better decisions by introducing a remote viewer's, e.g., a human's, reaction to a possibly complex environment surrounding a vehicle that includes a potential threat to the vehicle. One or more remote viewer may provide a recommended response to the threat that may be incorporated in whole or in part in how the vehicle reacts. Various ways to engage and utilize remote viewers are proposed to improve the likelihood of receiving useful recommendations, including modifying how the environment is presented to a remote viewer to best suit the remote viewer, e.g., perhaps present the threat in a game.

In one embodiment, a remote controller for a vehicle includes at least one control element for controlling operation of at least one aspect of the vehicle when the vehicle is in a remote-control mode; an actuator connected the at least one control element for controlling a position of the at least one control element when the vehicle is in an autonomous operations mode; and a processing system for receiving a first control signal from the vehicle indicative of a state of operation of the vehicle. In operation, the processing system generates a second control signal to the actuator to cause the actuator to control a position of the control element such that it corresponds to and indicates the state of operation of the vehicle.

An unmanned aerial vehicle (UAV) includes a propulsion system, a global navigation satellite system (GNSS) sensor, a camera and a controller. The controller includes logic that, in response to execution by the controller, causes the UAV to in response to detecting a loss of tracking by the GNSS sensor determine an estimated location of the UAV on a map based on a location image captured by the camera, determine a route to a destination using tracking parameters embedded in the map, wherein the map is divided into a plurality of sections and the tracking parameters indicate an ease of determining a location of the UAV using images captured by the camera with respect to each section, and control the propulsion system to cause the UAV to follow the route to the destination.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that generates lane path descriptors for use by autonomous vehicles. One of the methods includes receiving data that defines valid lane paths in a scene in an environment. Each valid lane path represents a path through the scene that can be traversed by a vehicle. User interface presentation data can be provided to a user device. The user interface can contain: (i) a first display area that displays a first visual representation of the sensor measurement; and (ii) a second display area that displays a second visual representation of the set of valid lane paths. User input modifying the second visual representation of the set of valid lane paths can be received; and in response to receiving the user input, the set of valid lane paths of the scene in the environment can be modified.

A remote starting system and method are provided for self-propelled work vehicles having work attachments supported from a main frame thereof. Cameras are arranged with respective fields of vision proximate to the work vehicle, and a communications unit is configured to exchange messages with a user device via a communications network. A local or remote controller is configured to receive first user input comprising a remote startup request for the work vehicle from the user device, and to automatically detect parameters respectively associated with predetermined remote startup conditions, at least one of the parameters comprising images obtained from the cameras. The images are transmitted to the user device, responsive to which second user input is received comprising remote startup confirmation from the user device via the communications network. Responsive to at least the second user input, engine startup is automatically controlled for the work vehicle.

A transportation vehicle, an infrastructure component, an apparatus, a computer program, and a method for a transportation vehicle to be remotely operated by a remote driver in a remote driving mode and to be operated at least partially automatically in an automated driving mode. The method includes determining driving preferences of a remote driver from the driving behavior of the remote driver, predicting information on a future traffic situation for switching from the automated driving mode to the remote driving mode, determining a predicted quality of service (pQoS) of a communication link for the remote driving mode, predicting a remote operation interval for which the transportation vehicle is at least operable in the remote driving mode based on the pQoS and the information on the future traffic situation, and deciding for or against a change from the automated driving mode to the remote driving mode.

A transportation vehicle, an infrastructure component, an apparatus, a computer program, and a method for a transportation vehicle to be remotely operated by a remote driver in a remote driving mode and to be operated at least partially automatically in an automated driving mode. The method includes determining driving preferences of a remote driver from the driving behavior of the remote driver, predicting information on a future traffic situation for switching from the automated driving mode to the remote driving mode, determining a predicted quality of service (pQoS) of a communication link for the remote driving mode, predicting a remote operation interval for which the transportation vehicle is at least operable in the remote driving mode based on the pQoS and the information on the future traffic situation, and deciding for or against a change from the automated driving mode to the remote driving mode.

A hygiene monitoring and management system including a monitoring module and a display. The management module with an input and that receives data via the input. The received data includes one or more locations of a device in a facility, and the management module further includes one or both of software and hardware configured to generate data representative of cleaning behavior associated with the device based on the received data. The cleaning behavior includes timing and movement of the device in the facility, and a cleanliness level of at least one area in the facility.

A remote assistance device includes a prediction unit that predicts an assistance provision probability that assistance for a vehicle will be necessary and a priority of the necessary assistance, which are associated with assistance contents of point information, based on a travel route including assistance points and the location information on the assistance points, and a reservation unit that determines whether a reservation for assistance by an operator is necessary based on the assistance provision probability and the priority, and sets, if the reservation is necessary, a reservation for assistance for not assigning an assistance task to the operator even when a low-priority assistance request is newly made while the reservation is held.