Panoramic image construction and height mapping using a quadcopter

Musters, A.B. (2013) Panoramic image construction and height mapping using a quadcopter. Bachelor's Thesis, Artificial Intelligence.

Preview	Text verslag.pdf - Published Version Download (956kB) | Preview
	Text AkkoordWiering.pdf - Other Restricted to Registered users only Download (41kB)

Abstract

This thesis describes the use of SIFT (Scale Invariant Feature Transform) and SURF (Speeded Up Robust Features) feature detection algorithms to make in flight panoramic pictures on a quadcopter. The quadcopter is an affordable UAV (Unmanned Aerial Vehicle) called AR.Drone from the company Parrot. We concentrate on indoor use, so GPS location systems can not be used. A single forward motion path is chosen for the making of the panoramic pictures. We chose the single path to decrease the problem complexity. At the same time it also constructs a height map using its onboard ultrasonic sensor. We also describe basic techniques/concepts as: sensors in- and output, obstacle avoidance and a PID controller, which can be used as a start up to real-world simultaneous localization and mapping (SLAM).

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Wiering, M.A. and Zant, C. M. van
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	15 Feb 2018 07:54
Last Modified:	02 May 2019 11:26
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/11244

Actions (login required)

View Item