Lorenzo Scarciglia
Visual Servoing for Autonomous Nano-drones Racing.
Rel. Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello, Matteo Risso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
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Abstract
Drones are nowadays used in many scenarios, from air surveillance and search-and-rescue missions to agriculture and cinematography. Drones' miniaturisation led to light nano-drones that fit the palm of a hand. Despite some downsides like the battery life of the order of minutes and limited computational power of the onboard microcontroller unit (MCU) belonging to the sub-100 mW power envelope, such systems can navigate in narrow spaces and being harmless around humans can be used in many scenarios. Over the last decade, autonomous drone racing (ADR) competitions have fostered research and provided an opportunity for scientists to create cutting-edge perception and control algorithms meant to operate directly onboard the drones.
In such competitions, drones have to pass through a predefined set of gates as fast as possible while avoiding obstacles without human intervention
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