Accurate Continuous Sweeping Framework in Indoor Spaces With Backpack Sensor System for Applications to 3-D Mapping
Keon Yong Lee, Soo-Hyun Ryu, Suyong Yeon, HyunGi Cho, ChangHyun Jun, Jaehyeon Kang, Hyunga Choi, Janghun Hyeon
Abstract
In indoor environments, there exists a few distinctive indoor spaces' features (ISFs). However, up to our knowledge, there is no algorithm that fully utilizes ISF for accurate 3-D SLAM. In this letter, we suggest a sensor system that efficiently captures ISF and propose an algorithm framework that accurately estimates sensor's 3-D poses by utilizing ISF. Experiments conducted in six representative indoor spaces show that the accuracy of the proposed method is better than the previous method. Furthermore, the proposed method shows robust performances in a sense that a set of adjusted parameters of the related algorithms does not need to be recalibrated as target environment changes. We also demonstrate that the proposed method not only generates 3-D depth maps but also builds a dense 3-D RGB-D map.
BibTeX
@inproceedings{ral2016_accuratecontinuo,
title = {Accurate Continuous Sweeping Framework in Indoor Spaces With Backpack Sensor System for Applications to 3-D Mapping},
author = {Keon Yong Lee and Soo-Hyun Ryu and Suyong Yeon and HyunGi Cho and ChangHyun Jun and Jaehyeon Kang and Hyunga Choi and Janghun Hyeon and Insik Baek and Woonhyung Jung and Han-Ul Kim and Nakju Lett Doh},
booktitle = {RA-L 2016},
year = {2016}
}