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

Department of Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

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.

Original language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728151861
DOIs	https://doi.org/10.1109/ICCE46568.2020.9043066
State	Published - Jan 2020
Event	2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States Duration: 4 Jan 2020 → 6 Jan 2020

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2020-January
ISSN (Print)	0747-668X

Conference

Conference	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Country/Territory	United States
City	Las Vegas
Period	4/01/20 → 6/01/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1109/ICCE46568.2020.9043066

Cite this

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. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 Article 9043066 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043066

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

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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",

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

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Chen, JH, Lin, GH, Yelamandala, CM & Fan, YC 2020, High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. in 2020 IEEE International Conference on Consumer Electronics, ICCE 2020., 9043066, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 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 et al.
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; Vol. 2020-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

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Chen JH, Lin GH, Yelamandala CM, Fan YC. High-accuracy mapping design based on multi-view images and 3D LiDAR point clouds. In 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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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