Removing past data of dynamic objects using static Velodyne LiDAR sensor

Phuong Minh Chu, Seoungjae Cho, Sungdae Sim, Kiho Kwak, Yong Woon Park, Kyungeun Cho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents a method of removing past data of dynamic objects by employing the Velodyne LiDAR sensor to accumulate points. In the first step, a fixed voxel map is created with the sensor position as the center. In the next step, we employ Bresenham's line algorithm to create three-dimensional line segments from the sensor position to all points in the current frame. Each element in the line segment is a voxel, while each line segment is a list of voxels. Finally, past data of moving objects are removed by deleting all points obtained in the previous frames of each line segment.

Original languageEnglish
Title of host publicationICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Pages1637-1640
Number of pages4
ISBN (Electronic)9788993215120
DOIs
StatePublished - 24 Jan 2016
Event16th International Conference on Control, Automation and Systems, ICCAS 2016 - Gyeongju, Korea, Republic of
Duration: 16 Oct 201619 Oct 2016

Publication series

NameInternational Conference on Control, Automation and Systems
Volume0
ISSN (Print)1598-7833

Conference

Conference16th International Conference on Control, Automation and Systems, ICCAS 2016
Country/TerritoryKorea, Republic of
CityGyeongju
Period16/10/1619/10/16

Keywords

  • Dynamic object
  • past data
  • Velodyne LiDAR sensor

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