DSpace

Future University Hakodate Academic Archive >
Faculty and Students >
FUN Theses >
Doctoral Theses >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10445/8796

Title: 低解像度LIDARを用いたスキャンライン数の変化にロバストな物体分類手法に関する研究
Research on Robust Object Classification Method to Variation of the Number of Scan Lines Using Low-resolution LIDAR
Authors: 永島,徹
Toru,Nagashima
Research Achievement Classification: 学位論文/Thesis or Dissertation
Type: Thesis or Dissertation
Peer Review: あり/yes
Solo/Joint Author(s): 単著/solo
Spage: 1
Epage: 73
Date: Aug-2019
Fiscal Year: 令和元年度(2019-9修了)
Academic Degrees and number: 20103甲第43号
Degree-granting date: 2019-09-19
Degree name: 博士(システム情報科学)
Degree-granting institutions: 公立はこだて未来大学
Appears in Collections:Doctoral Theses

Files in This Item:

File Description SizeFormat
g3216001_thesis.pdf2.56 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Copyright © 2010-2012 FUTURE UNIVERSITY HAKODATE.
DSpace Software Copyright © 2002-2010  Duraspace