header

GPS denied navigation using low-cost inertial sensors and recurrent neural networks / (Record no. 83669)

MARC details
000 -LEADER
fixed length control field 02133ncm a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211225s2021 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.01.M.Sc.2021.Ah.G
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ahmed Ali Ahmed Abdulmajuid
245 10 - TITLE STATEMENT
Title GPS denied navigation using low-cost inertial sensors and recurrent neural networks /
Statement of responsibility, etc. Ahmed Ali Ahmed Abdulmajuid ; Supervised Gamal M. Elbayoumi , Osama S. Mohammady , Mohannad A. Draz
246 15 - VARYING FORM OF TITLE
Title proper/short title الملاحة فى غ{u٠٦أأ}اب نظام التموضع العالمى باستخدام مستشعرات القصور الذاتى منخفضة التكلفة والشبكات العصب{u٠٦أأ}ة المتكررة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ahmed Ali Ahmed Abdulmajuid ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 99 P. :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Autonomous missions of drones require continuous and reliable estimates for their velocity and position. Traditionally, Extended Kalman Filtering (EKF) is applied to measurements from Gyroscope, Accelerometer, Magnetometer, Barometer and GPS to produce these estimates. When the GPS signal is lost, estimates deteriorate and become unusable in a few seconds, especially when using low-cost inertial sensors. This thesis proposes an estimation method that uses a Recurrent Neural Network (RNN) to allow reliable state estimates in the absence of GPS signal. On average, EKF positioning error grows to around 40 kilometers in five minutes of GPS-less typical drone flight.The proposed method reduces that error by 98% in the same GPS outage
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Estimation in Drones
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Inertial Navigation
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Recurrent Neural Networks
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Gamal M. Elbayoumi ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohannad A. Draz ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Osama S. Mohammady ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.01.M.Sc.2021.Ah.G 01010110085041000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.01.M.Sc.2021.Ah.G 01020110085041000 22.09.2023 CD - Rom 85041.CD