@inproceedings{1360150df0d0418abef721d2c57e47a3,
title = "CV-SLAM using line and point features",
abstract = "Simultaneous Localization and Mapping (SLAM) is a fundamental problem in the mobile robotics. As SLAM is usually utilized in an indoor environment, we select the ceiling view (CV) as a stable source of features. In this research, three types of features are extracted from CV and constitute a single map. The landmarks detected from ceilings are ceiling boundaries, electric lamps, and circles. Each of them is very robustly detected from CV and the combination of them yields more stable and accurate localization performance. Multiple kinds of features are integrated into an EKF-SLAM framework. We demonstrated the SLAM system in an indoor environment and proved its high performance.",
keywords = "ceiling view, line feature, point feature, SLAM",
author = "Hyukdoo Choi and Sungjin Jo and Euntai Kim",
year = "2012",
language = "English",
isbn = "9781467322478",
series = "International Conference on Control, Automation and Systems",
pages = "1465--1468",
booktitle = "ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems",
note = "2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 ; Conference date: 17-10-2012 Through 21-10-2012",
}