Patent classifications
G05D2105/50
METHOD AND SYSTEM FOR LEARNING A DRIVING ROUTE OF AN AUTONOMOUSLY DRIVING AGRICULTURAL DRIVING ROBOT
A method for learning a route of an autonomously driving agricultural robot involves providing an environmental map, driving along a route in the region of the environmental map from a starting point to an end point by manually controlling the driving robot, locating the driving robot while driving along the route with the aid of a sensor arranged on the driving robot, and recording coordinates of waypoints along the route based on the locating process that has been carried out. The route is validated by autonomously driving along the route taking the stored coordinates of the waypoints into account, wherein the route is manually confirmed and then the confirmed route is marked as being able to be driven along autonomously.
Intelligent management method and management system of natural pasture using multi-machine collaboration of UAVs
The present disclosure discloses an intelligent management method and management system of a natural pasture using multi-machine collaboration of UAVs, which belongs to the technical field of UAVs. The method includes: by a UAV group, obtaining pasture environment information, automatically planning a global grazing path, and performing automatic driving and grazing according to a user-defined grazing time, a starting point and an end point; during the process, collecting and analyzing herd activity images, and planning local grazing paths to assist in the automatic driving; and meanwhile, collecting vegetation coverage image data of a grazing area to further assist in the grazing.
Repellence system and repellence method for repelling animals
A repellence system and method for repelling animals includes an imaging device arranged to generate image data from a railway track, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and a repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the railway track from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.