Hybrid machine learning VDM for UAV's in GNSS denied environment/ (Record no. 37085)
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000 -LEADER | |
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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 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date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 |
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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 |