Print Email Facebook Twitter Urban MAV Title Urban MAV: A visual odometry dataset Author Booster, Quincy (TU Delft Aerospace Engineering) Contributor de Croon, G.C.H.E. (mentor) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2021-04-14 Abstract The most common used classification of drones is Micro air vehicles (MAV), with quadrotors being the most conventional MAV [1]. Its relatively small size and rotary wings provide high maneuverability, including vertical takeoff and hovering, making them useful in confined and hard to reach spaces. Another benefit of the MAV in comparison to other drone classifications is its relatively smaller production costs [1]. Because of these features they play an increasing role within our society by aiding in human tasks, by applying them in for example site inspection, agriculture and rescue missions [2–4]. However, its agility comes at a cost which takes the form of high power consumption [5]. Making improving MAV designs a challenge. To reference this document use: http://resolver.tudelft.nl/uuid:a4497602-a257-4561-8e4c-5baa36e8cd6f Part of collection Student theses Document type master thesis Rights © 2021 Quincy Booster Files PDF Thesis_Q_Booster.pdf 9.27 MB Close viewer /islandora/object/uuid:a4497602-a257-4561-8e4c-5baa36e8cd6f/datastream/OBJ/view