{"id":24310,"date":"2021-10-23T12:01:02","date_gmt":"2021-10-23T11:01:02","guid":{"rendered":"https:\/\/reseau-orpheon.fr\/2022\/04\/11\/drone-ai-faster-than-human-pilots\/"},"modified":"2022-04-12T14:40:00","modified_gmt":"2022-04-12T13:40:00","slug":"drone-ai-faster-than-human-pilots","status":"publish","type":"post","link":"https:\/\/reseau-orpheon.fr\/en\/drone-ai-faster-than-human-pilots\/","title":{"rendered":"Drone: AI faster than human pilots"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Here’s a new real-world application example and benefits of real-time kinematics (RTK) that can be used with drones to help them position themselves accurately, navigate obstacles, and follow waypoints based on their different applications.<\/p>\r\n\r\n

Drone trajectory optimization<\/h2>\r\nOften competition is at the origin of great technological advances or is also used to test already well-known solutions in the harshest conditions. The field of drone racing is no exception, as last July an AI-controlled autonomous racing drone beat human pilots for the first time.\r\n\r\nNew control algorithms developed at the University of Zurich (UZH) beat experienced human pilots for the first time. Until now, the best human drone pilots have always outperformed autonomous systems in drone racing, especially because of the complexity and limitations of drones.\r\n\r\nThe algorithm developed now knows how to determine the fastest trajectory to achieve for a quadrotor which must cross a series of waypoints on the circuit. But this algorithm is the first to generate optimal trajectories taking fully into account the limitations of the drone.\r\n\r\nOnce the algorithm found the best trajectory, it could reproduce it, which allowed it to be faster on each of its turns and its performance was more consistent. Cameras have also been positioned along the circuit in order to transmit information to the on-board algorithm on the exact location of the drone in real time.\r\n\r\nBy thus calculating an optimal trajectory to be the fastest, in the end this also makes it possible to optimize energy consumption.\r\n\r\nMore generally, this advantage is essential in the various missions that we use to drones in their various missions, whether it is: looking for survivors during a natural disaster, inspecting a building, delivering a package, etc. Missions that they must complete by crossing a series of waypoints such as windows, rooms or specific locations to inspect, adopting the best trajectory and the right acceleration or deceleration for each segment.\r\n

Integration of precision GPS<\/h3>\r\nAlthough this example of tests takes place indoors, outdoors the drones carry a precision GPS and receive corrections to refine their positions with greater precision.\r\n

Accurate GPS and mobile internet connection<\/h2>\r\nMany applications exist today precisely to locate these objects but do not have the precision necessary to take a real advantage.\r\n\r\nWith \u00b1 5m of precision, a classic GPS gives an idea of \u200b\u200ba position or a route, but when you want to guide a movement to avoid obstacles or you need to know in detail a trajectory, an exact position at an instant t, centimetric precision then becomes indispensable and vital.\r\n\r\nA precision GPS associated with corrections from the Orpheon network provide the desired centimetric precision.<\/strong>\r\n\r\n\"null\"\r\n

Corrections to gain precision<\/h2>\r\nFor its accuracy to be increased and usable in agricultural work, surveying, machine guidance or many other application areas (see) It requires corrections.\r\n\r\nPrecision GPS<\/strong>\r\n\r\nWe distinguish between two types of GNSS receivers:\r\n