DRL CMO Anne Marie Giantusos said, “For leagues looking to take their TikTok to new heights, I’d encourage them to get out of their comfort zone.” She advises leagues to “showcase their sport with trending sounds that have low, but rising, video counts.” Wheless noted the DRL worked with Wasserman to “research its fans by using email lists and scouring social media accounts.” After seeing those results, the DRL “leaned into its TikTok presence.” There is a “team that focuses on TikTok and works to predict videos that will go viral.” Key factors for successful videos include the “first-person-view video of a drone zooming through a race layout or old warehouse” and “setting the video to the right music” (, 5/4). The DRL has more than 4 million TikTok followers, meaning it is “holding its own” against other leagues like MLS (503,000), the NHL (1.8 million) and F1 (3.9 million). DOI: 10.The Drone Racing League is trying to show other sports organizations that embracing TikTok can “help widen fan bases,” according to Erika Wheless of AD AGE. Literature:Įlia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza: Champion-Level Drone Racing using Deep Reinforcement Learning. And the ability to fly at high speeds could make a huge difference for rescue drones sent inside a building on fire. In the film industry, fast autonomous drones could be used for shooting action scenes. In first-person view drone racing, pilots direct drones through complex. Thus, by flying faster we increase their utility.” In applications such as forest monitoring or space exploration, for example, flying fast is important to cover large spaces in a limited time. Drone Racing League pilots flying first-person view at the DRL Vegas Championship Race, January 2022. “Drones have a limited battery capacity they need most of their energy just to stay airborne. Pushing the envelope in autonomous flight is important way beyond drone racing, Scaramuzza notes. On the other hand, human pilots proved more adaptable than the autonomous drone, which failed when the conditions were different from what it was trained for, e.g., if there was too much light in the room. Overall, Swift achieved the fastest lap, with a half-second lead over the best lap by a human pilot. The track covered an area of 25 by 25 meters, with seven square gates that had to be passed in the right order to complete a lap, including challenging maneuvers including a Split-S, an acrobatic feature that involves half-rolling the drone and executing a descending half-loop at full speed. Photos: Here are some photos of the 2nd Higalaay Drone Racing League. The 2nd Higalaay Drone Racing League was brought to us by the Cagayan de Oro Whoopers. The races took place between 5 and 13 June 2022, on a purpose-built track in a hangar of the Dübendorf Airport, near Zurich. The 2nd Higalaay Drone Racing League happened on Aug(Sunday), from 9 AM until 6 PM at the QuickDrive Drive-Thru/TakeOut Center in Kauswagan, Cagayan de Oro City. The top pilots overall at each Level earn Season Points. LEVEL A Level is a single racing event that is part of the season-long competition. Human pilots still adapt better to changing conditionsĪfter a month of simulated flight time, which corresponds to less than an hour on a desktop PC, Swift was ready to challenge its human competitors: the 2019 Drone Racing League champion Alex Vanover, the 2019 MultiGP Drone Racing champion Thomas Bitmatta, and three-times Swiss champion Marvin Schaepper. The 2022-23 DRL Algorand World Championship Season featured the world's 12 best drone pilots racing the fastest drones across IRL, in esports and in the metaverse. This information is fed to a control unit, also based on a deep neural network that chooses the best action to finish the circuit as fast as possible. Its integrated inertial measurement unit measures acceleration and speed while an artificial neural network uses data from the camera to localize the drone in space and detect the gates along the racetrack. Swift, however, reacts in real time to the data collected by an onboard camera, like the one used by human racers. Until very recently, autonomous drones took twice as long as those piloted by humans to fly through a racetrack, unless they relied on an external position-tracking system to precisely control their trajectories. As the sports industry is beginning to grow engagement through cryptocurrency and NFTs, drone racing is also attracting attention as an emerging sector through its new techniques of engagement. We don’t have a perfect knowledge of the drone and environment models, so the AI needs to learn them by interacting with the physical world,” says Davide Scaramuzza, head of the Robotics and Perception Group at the University of Zurich – and newly minted drone racing team captain. “Physical sports are more challenging for AI because they are less predictable than board or video games. Learning by interacting with the physical world
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