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Improvement of mobile lidar data classification of urban road environment using machine learning algorithms / (Record no. 84082)

MARC details
000 -LEADER
fixed length control field 02448cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032916.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220201s2021 ua dh 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 Cai01.13.05.M.Sc.2021.Ma.I
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mahmoud Abdeltawwab Abdelhamid Mohamed
245 10 - TITLE STATEMENT
Title Improvement of mobile lidar data classification of urban road environment using machine learning algorithms /
Statement of responsibility, etc. Mahmoud Abdeltawwab Abdelhamid Mohamed ; Supervised Adel Hassan Yousef Elshazly , Salem Wagih Salem Morsy
246 15 - VARYING FORM OF TITLE
Title proper/short title تحسين تصنيف بيانات الليدار المحمول الخاصة ببيئة الطرق الحضرية باستخدام خوارزميات التعلم الآلى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mahmoud Abdeltawwab Abdelhamid Mohamed ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 61 P. :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
520 ## - SUMMARY, ETC.
Summary, etc. 3D road mapping is essential for intelligent transportation system in smart cities. Road features can be utilized for road maintenance, autonomous driving vehicles, and providing regulations to drivers. Currently, 3D road environment receives its data from Mobile LIDAR Scanning (MLS) systems. MLS systems are capable of rapidly acquiring dense and accurate 3D point clouds, which allow for effective surveying of long road corridors.They produce huge amount of point clouds, which require automatic features classification algorithms with acceptable processing time. Machine learning (ML) algorithms are widely used for predicting the future or classifying information to help policymakers in making necessary decisions. This prediction comes from a pre-trained model on a given data consisting of inputs and their corresponding outputs of the same characteristics. In this research, an attempt to extract some road features from MLS point cloud using proper ML classifier, and evaluation of different steps entire the method
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Classification
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Mobile liDAR data
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Neighborhood
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Adel Hassan Yousef Elshazly ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Salem Wagih Salem Morsy ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
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 Cai01.13.05.M.Sc.2021.Ma.I 01010110085325000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.05.M.Sc.2021.Ma.I 01020110085325000 22.09.2023 CD - Rom 85325.CD