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Vision-Based Navigation System for Unmanned Aerial Vehicles PDF

225 Pages·2017·13.83 MB·English
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U C III M NIVERSIDAD ARLOS DE ADRID Vision-Based Navigation System for Unmanned Aerial Vehicles Author: Abdulla H. Al-Kaff Supervisor: Prof. José María Armingol Prof. Arturo de la Escalera Intelligent Systems Lab (LSI) Department of Systems Engineering and Automation A dissertation submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in Electric Engineering, Electronics and Automation Leganés, October, 2017 This dissertationhas been approved in partialfulfillment of thedegree of: Doc- tor of Philosophy by the Department of Systems Engineering and Automation - PolytechnicSchoolattheUniversidadCarlosIIIdeMadridonOctober5,2017. 1. Chair: ...................................................................... Position: ...................................................................... Affiliation:.................................................................... DateandSignature 2. ExternalExaminer: ......................................................... Position: ...................................................................... Affiliation:.................................................................... DateandSignature 3. InternalExaminer:.......................................................... Position: ...................................................................... Affiliation:.................................................................... DateandSignature Dayofthedefense: SignaturefromheadofPhDcommittee: "If the facts do not fit the theory, change the facts." Albert Einstein Declaration I hereby declare that except where specific reference is made to the work of others, the contents of this dissertation are original and have not been submitted in whole or in part for consideration for any other degree or qualification in this, or any otherUniversity. Thisdissertationistheresultofmyownworkandincludesnoth- ing which is the outcome of work done in collaboration, except where specifically indicated in the text. This dissertation contains less than 60,000 words including appendices,bibliography,footnotes,tablesandequationsandhaslessthan100fig- uresandlessthan30tables. AbdullaH.Al-Kaff October,2017 Acknowledgements Firstly,Iwouldliketoexpressmysinceregratitudeandlovetomyparents,mysis- terandmybrother;fortheirendlesslove,care,supportandmotivationtoimprove myselfinmylifeandmywork,Icannotsaythankyouenoughforstayingwithme, justIloveyou. Besides,Iwouldliketoexpressmyspecialappreciationandthankstomysuper- visorsProf. ArturodelaEscaleraandProf. JoséMaríaArmingolforthecontinuous support of my Ph.D study and related research, for his patience, motivation, and immense knowledge. His guidance helped me in all the time of research and writ- ingofthisthesis. Last but not least, an honorable mention goes to my partners and friends espe- cially Dr. Fernando García and Dr. David Martín, who supported me in a lot of things,andincentedmetostrivetowardsmygoal.

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colisiones, donde el UAV es capaz de percibir y detectar los obstáculos surveillance purposes [112, 119, 186, 274]; and search and rescue .. hub, while in [132], the tracking is based on optical flow algorithms, then the mo- . a Bayesian segmentation model with a Hidden Markov Trees (HMT).
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