完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLe Minh Haizh_TW
dc.date109學年度第二學期zh_TW
dc.date.accessioned2021-10-28T01:21:26Z-
dc.date.available2021-10-28T01:21:26Z-
dc.date.submitted2021-10-26-
dc.identifier.otherP0970673zh_TW
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2376/4730-
dc.description.abstractAbstract Sensor combinations can enhance reliability and significantly reduce risk to autonomous vehicle systems. Traditional methods need a lot of time to adjust and the efficiency is not high. In this project, we build a tool that can assist in sensor matching by finding the relation matrix based on 4 known points in the LiDAR and image data. Our tools can perform more efficient, intuitive and easy to handle by using GUI on Python.zh_TW
dc.description.tableofcontentsTable of Content Chapter 1 Introduction 4 Chapter 2 Literature Review 4 Chapter 3 Propose System 6 Chapter 4 Code 7 Chapter 5 Results 23 Chapter 6 Conclusion 23 References 24zh_TW
dc.format.extent24p.zh_TW
dc.language.isoenzh_TW
dc.rightsopenbrowsezh_TW
dc.subjectSensor fusionzh_TW
dc.subjectrelation matrixzh_TW
dc.subjectpython GUIzh_TW
dc.titleCamera distance estimation using LiDAR toolzh_TW
dc.typePhdreportzh_TW
dc.description.course儀器人機介面設計與分析zh_TW
dc.description.courseDesign and Analysis of Instrument Human Machine Interfacezh_TW
dc.contributor.department電機與通訊工程博士學位學程, 資訊電機學院zh_TW
dc.description.instructor王通温-
dc.description.programme電子工程學系碩士班, 資訊電機學院zh_TW
分類:資電109學年度

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