High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds

Jian Hong Chen; Guo Han Lin; Chitra Meghala Yelamandala; Yu Cheng Fan

doi:10.1109/ICCE46568.2020.9043066

High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds

Jian Hong Chen
, Guo Han Lin
, Chitra Meghala Yelamandala
, Yu Cheng Fan

電子工程系

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

16 引文斯高帕斯（Scopus）

摘要

In recent years, the Internet of things (IOT), big data and artificial intelligence are evolving rapidly. The Self-driving vehicle is an important issue. One of the biggest advantages of self-driving vehicles is to reduce traffic accidents. The goal of our efforts is to provide more convenient and safe transportation. Therefore, we present a 'high-accuracy mapping design based on multi-view images and three-dimensional (3D) LiDAR point clouds' in this paper. The proposed system for 3D LiDAR combines color camera and three dimensional space coordinate corresponding to the two-dimensional space coordinates technology.

原文	English
主出版物標題	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781728151861
DOIs	https://doi.org/10.1109/ICCE46568.2020.9043066
出版狀態	Published - 1月 2020
事件	2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States 持續時間: 4 1月 2020 → 6 1月 2020

出版系列

名字	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
卷	2020-January
ISSN（列印）	0747-668X

Conference

Conference	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
國家/地區	United States
城市	Las Vegas
期間	4/01/20 → 6/01/20

文獻附註

Publisher Copyright:
© 2020 IEEE.

UN SDG

此研究成果有助於以下永續發展目標

Good health and well being

存取文件

10.1109/ICCE46568.2020.9043066

其它文件與鏈接

Link to publication in Scopus

引用此

Chen, J. H., Lin, G. H., Yelamandala, C. M., & Fan, Y. C. (2020). High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. 於 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 文章 9043066 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; 卷 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043066

@inproceedings{821b27c8bd6748f2bb854183d8643b56,

title = "High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds",

abstract = "In recent years, the Internet of things (IOT), big data and artificial intelligence are evolving rapidly. The Self-driving vehicle is an important issue. One of the biggest advantages of self-driving vehicles is to reduce traffic accidents. The goal of our efforts is to provide more convenient and safe transportation. Therefore, we present a 'high-accuracy mapping design based on multi-view images and three-dimensional (3D) LiDAR point clouds' in this paper. The proposed system for 3D LiDAR combines color camera and three dimensional space coordinate corresponding to the two-dimensional space coordinates technology.",

keywords = "3D Environment, Cameras, Images, LiDAR, Point Clouds, Multi-view, Multi-view; Cameras; Images; LiDAR, Point Clouds; 3D Environment",

author = "Chen, \{Jian Hong\} and Lin, \{Guo Han\} and Yelamandala, \{Chitra Meghala\} and Fan, \{Yu Cheng\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 ; Conference date: 04-01-2020 Through 06-01-2020",

year = "2020",

month = jan,

doi = "10.1109/ICCE46568.2020.9043066",

language = "???core.languages.en\_GB???",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Conference on Consumer Electronics, ICCE 2020",

}

Chen, JH, Lin, GH, Yelamandala, CM & Fan, YC 2020, High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. 於 2020 IEEE International Conference on Consumer Electronics, ICCE 2020., 9043066, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 卷 2020-January, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Consumer Electronics, ICCE 2020, Las Vegas, United States, 4/01/20. https://doi.org/10.1109/ICCE46568.2020.9043066

High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. / Chen, Jian Hong; Lin, Guo Han; Yelamandala, Chitra Meghala 等.
2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9043066 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; 卷 2020-January).

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

TY - GEN

T1 - High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds

AU - Chen, Jian Hong

AU - Lin, Guo Han

AU - Yelamandala, Chitra Meghala

AU - Fan, Yu Cheng

PY - 2020/1

Y1 - 2020/1

N2 - In recent years, the Internet of things (IOT), big data and artificial intelligence are evolving rapidly. The Self-driving vehicle is an important issue. One of the biggest advantages of self-driving vehicles is to reduce traffic accidents. The goal of our efforts is to provide more convenient and safe transportation. Therefore, we present a 'high-accuracy mapping design based on multi-view images and three-dimensional (3D) LiDAR point clouds' in this paper. The proposed system for 3D LiDAR combines color camera and three dimensional space coordinate corresponding to the two-dimensional space coordinates technology.

AB - In recent years, the Internet of things (IOT), big data and artificial intelligence are evolving rapidly. The Self-driving vehicle is an important issue. One of the biggest advantages of self-driving vehicles is to reduce traffic accidents. The goal of our efforts is to provide more convenient and safe transportation. Therefore, we present a 'high-accuracy mapping design based on multi-view images and three-dimensional (3D) LiDAR point clouds' in this paper. The proposed system for 3D LiDAR combines color camera and three dimensional space coordinate corresponding to the two-dimensional space coordinates technology.

KW - 3D Environment

KW - Cameras

KW - Images

KW - LiDAR, Point Clouds

KW - Multi-view

KW - Multi-view; Cameras; Images; LiDAR

KW - Point Clouds; 3D Environment

UR - https://www.scopus.com/pages/publications/85082598398

U2 - 10.1109/ICCE46568.2020.9043066

DO - 10.1109/ICCE46568.2020.9043066

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85082598398

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

BT - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020

Y2 - 4 January 2020 through 6 January 2020

ER -

Chen JH, Lin GH, Yelamandala CM, Fan YC. High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. 於 2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9043066. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE46568.2020.9043066

High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds

摘要

出版系列

Conference

文獻附註

UN SDG

存取文件

其它文件與鏈接

指紋

引用此