Urban MAV

A visual odometry dataset

Master Thesis (2021)
Author(s)

Q. Booster (TU Delft - Aerospace Engineering)

Contributor(s)

Guido C.H.E.de de Croon – Mentor (TU Delft - Control & Simulation)

Faculty
Aerospace Engineering
Copyright
© 2021 Quincy Booster
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Quincy Booster
Graduation Date
14-04-2021
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Faculty
Aerospace Engineering
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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.

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