@inproceedings{f6b139a8db144eefaae0ff00ed90130f,
title = "Multi-resolution point cloud generation based on heterogeneous sensor fusion system",
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.",
keywords = "3D laser scanner, multi-resolution point cloud, sensor fusion, stereo camera",
author = "Jo, \{Hyung Gi\} and Cho, \{Hae Min\} and Seongwon Lee and Euntai Kim",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 ; Conference date: 28-06-2017 Through 01-07-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/URAI.2017.7992856",
language = "English",
series = "2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "886--888",
booktitle = "2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017",
}