Hybrid machine learning VDM for UAV's in GNSS denied environment/ (Record no. 37085)

MARC details
000 -LEADER
fixed length control field 00824cam a2200121 4500
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name ZAHRAN Shady
245 ## - TITLE STATEMENT
Title Hybrid machine learning VDM for UAV's in GNSS denied environment/
Statement of responsibility, etc. Shady Zahran
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2018
520 ## - SUMMARY, ETC.
Summary, etc. This paper presents a novel approach to enhance unmanned aerial vehicle (UAV) autonomous navigation. UAVs play an important role in a wide variety of activities in different fields of military and civilian applications. Researchers have focused their efforts in different categories of research areas to achieve a fully automated UAV in different circumstances and environments such as sensor fusion, communication, path planning, and trajectory generation.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element UNMANNED AERIAL VEHICLE (UAV)
773 ## - HOST ITEM ENTRY
Main entry heading Navigation : Vol 65 No 3, Fall 2018, pp.477-492 (43)
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
i 61894-1001
r Y
s Y
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
          Mindef Library & Info Centre Mindef Library & Info Centre Journals 18/02/2019   UNMANNED AERIAL VEHICLE 61894-1001 03/01/2024 1 03/01/2024 Journal Article