Multi-resolution point cloud generation based on heterogeneous sensor fusion system

Hyung Gi Jo, Hae Min Cho, Seongwon Lee, Euntai Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Various three-dimensional environment representation techniques exist depending on the type of sensor, and the level of expression varies depending on the characteristics of the sensor. Our sensor system is composed of a three-dimensional lasers scanner and a stereo camera. A rigid transformation matrix representing a three-dimensional relative pose is obtained by calibration between a stereo camera and laser scanner and creates a multi-resolution point cloud. By combining a stereo camera with a high resolution and a laser scanner with wide range and low-resolution, it is able to complement each other and achieve better results.

Original languageEnglish
Title of host publication2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages886-888
Number of pages3
ISBN (Electronic)9781509030552
DOIs
Publication statusPublished - 2017 Jul 25
Event14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of
Duration: 2017 Jun 282017 Jul 1

Publication series

Name2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Other

Other14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
CountryKorea, Republic of
CityJeju
Period17/6/2817/7/1

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Biomedical Engineering
  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

Fingerprint Dive into the research topics of 'Multi-resolution point cloud generation based on heterogeneous sensor fusion system'. Together they form a unique fingerprint.

  • Cite this

    Jo, H. G., Cho, H. M., Lee, S., & Kim, E. (2017). Multi-resolution point cloud generation based on heterogeneous sensor fusion system. In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 (pp. 886-888). [7992856] (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2017.7992856