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Information × Registration Number 2122U006278, Article popup.category Препринт Title Multi-camera visual obstacle avoidance for micro aerial vehicles (AI translated) popup.author Morhunenko MykolaMorhunenko Mykola popup.publication 01-01-2022 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4420 popup.publisher Description The 21st century is a time of innovation and exploration in the fields of applied science such as physics, medicine, biology, programming and robotics, as well as their intersections and fusions. One of the research topics, that have recently gained much popularity, are Micro unmanned Aerial Vehicles (MAVs). MAVs became smaller, cheaper and more readily available. However, due to the rising popularity and utility of MAVs, some of their problems and limitations are highlighted. MAVs often rely on the Global Navigation Satellite System (GNSS), but due to GNSS inaccuracy in closed environments, the MAV requires an obstacle avoidance system that is compact and reliable. In this thesis, a compact and reliable visual multi-camera obstacle avoidance system for MAVs is developed. Calibration of a non-planar stereo camera setup and extraction of obstacle positions in an unknown environment from pairs of 2D images are tackled in this work. The proposed solution is designed to run onboard an MAV with a limited computational power considering size, weight and payload limitations. Performance of a prototype of the proposed solution was measured in laboratory experiments. The result proved that the system is ready for on-drone deployment and real-life tests. popup.nrat_date 2025-11-05 Close