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3D LiDAR and color camera data fusion

  • Yuqi Ding
    ,
  • Jiaming Liu
    ,
  • Jinwei Ye
    ,
  • Weidong Xiang
    ,
  • Hsiao Chun Wu
    ,
  • Louisiana State University
    ,
  • University of Michigan, Dearborn
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Research

Open access

Related Event

Title

15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020

Event type

Conference

Date

10/27/2020 - 10/29/2020

Location

ParisFrance

Abstract

3D LiDAR sensor and 2D color camera provide complementary information of a scene. It is essential to fuse both types of data to obtain a holistic representation of the real-world scene. In this paper, we present a method to fuse the data captured by rigidly mounted LiDAR and camera. We first cocalibrate the LiDAR and camera with a calibration target. We then establish 3D-2D correspondences and fuse the LiDAR and camera data through geometric transformations. Experimental results demonstrate that our method is able to fuse the 3D LiDAR point cloud with the 2D color image efficiently and accurately. Our method is also fast and can be used in autonomous driving applications.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Research

Original language

English (US)

Article number

9379430

Publication milestones

  • Published - 10/27/2020

Publication status

Published - 10/27/2020

Publisher

IEEE Computer Society

Publication series

  • Publication series name: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
    ISSN (Print): 2155-5044
    ISSN (Electronic): 2155-5052
    Volume: 2020-October

ISBN (Electronic)

9781728157849

Publication IDs

  • Scopus: 85103461355

Host publication title

15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020

Publication metrics

Metrics

SciVal
Author count
6
SciVal
Paper percentile
50
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1
Scopus
citations

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