A product system for an agricultural sprayer includes a product tank configured to store a volume of an agricultural product. A fill station is configured to accept the agricultural product from an off-board source. A flow assembly is fluidly coupled with the fill station and is configured to direct the agricultural product into a product tank from the conduit. A reclaim system is configured to provide the agricultural product within the flow assembly to the product tank. A computing system is communicatively coupled to the reclaim system. The computing system is configured to receive inputs indicative of activation of a fill mode, detect termination of the fill mode, and activate a reclaim mode to move the agricultural product from at least the conduit to the product tank through activation of the reclaim system.

A control system for navigating a marine vessel employs at least a first motor and a second motor. The control system is configured to communicate with the first and second motors. The control system is configured to receive a position measurement and an orientation measurement for the marine vessel. The control system is further configured to generate at least one control signal for the first motor based on the position measurement and at least one control signal for the second motor based on the orientation measurement.

A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

A test flight system includes a test aircraft, and an atmospheric conditions-detecting vehicle that is separate and distinct from the test aircraft. The atmospheric conditions-detecting vehicle is configured to be deployed during a test flight of the test aircraft to detect atmospheric conditions of an environment in which the test aircraft operates during the test flight.

The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

This disclosure provides methods, devices and systems for a vehicle user equipment (VUE) to obtain extrinsic information about an object or location. The VUE may transmit a request for information about the object or the location to a road side unit (RSU). The RSU may receive the request and determine a set of extrinsic information for the first UE regarding the object or the location based on a set of information from one or more other UEs. The extrinsic information includes information that is not provided by the VUE. The RSU may transmit the set of extrinsic information to the VUE. The VUE may determine whether to accept a feature of the object or the location in the extrinsic information based on the set of extrinsic information and a set of intrinsic information detected by the VUE, The VUE may select an autonomous driving action based on the accepted feature.

A computer-implemented method is provided for autonomously controlling a vehicle to perform a vehicle operation. The method includes steps of applying a passive actor-critic reinforcement learning method to passively-collected data relating to the vehicle operation, to learn a control policy configured for controlling the vehicle so as to perform the vehicle operation with a minimum expected cumulative cost; and controlling the vehicle in accordance with the control policy to perform the vehicle operation.

Some embodiments of the invention relate to generating correction information based on global or regional navigation satellite system (NSS) multiple-frequency signals observed at a network of reference stations, broadcasting the correction information, receiving the correction information at one or more monitoring stations, estimating ambiguities in the carrier phase of the NSS signals observed at the monitoring station(s) using the correction information received thereat, generating residuals, generating post-broadcast integrity information based thereon, and broadcasting the post-broadcast integrity information. Other embodiments relate to receiving and processing correction information and post-broadcast integrity information at NSS receivers or at devices which may have no NSS receiver, as well as to systems, NSS receivers, devices which may have no NSS receiver, processing centers, and computer programs. Some embodiments may for example be used for safety-critical applications such as highly-automated driving and autonomous driving.

Techniques are described for managing temperature in an autonomous vehicle. An exemplary method comprises performing autonomous driving operations that operate the autonomous vehicle in an autonomous mode, receiving one or more messages from a temperature sensor associated with an electrical device located on or in the autonomous vehicle while the autonomous vehicle is operated in the autonomous mode, determining a cooling technique to reduce the temperature of electrical device, and performing the cooling technique.