Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Giseop Kim"'
Autor:
Seungsang Yun, Minwoo Jung, Jeongyun Kim, Sangwoo Jung, Younghun Cho, Myung-Hwan Jeon, Giseop Kim, Ayoung Kim
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
Journal of Korea Robotics Society. 15:1-7
Using publicly accessible maps, we propose a novel vehicle localization method that can be applied without using prior light detection and ranging (LiDAR) maps. Our method generates OSM descriptors by calculating the distances to buildings from a loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05945e7b370f05fecd5a98e8302a7df
http://arxiv.org/abs/2202.07516
http://arxiv.org/abs/2202.07516
Publikováno v:
IEEE Robotics and Automation Letters. 4:1948-1955
In this letter, we present a long-term localization method that effectively exploits the structural information of an environment via an image format. The proposed method presents a robust year-round localization performance even when learned in just
Publikováno v:
Computers, Environment and Urban Systems. 74:74-87
Visibility represents the size of a space that people visually perceive. An isovist is a spatial concept and measure to illustrate visibility and its visual characteristics in the built environment. For measuring openness within an urban area, the is
Place recognition is a key module in robotic navigation. The existing line of studies mostly focuses on visual place recognition to recognize previously visited places solely based on their appearance. In this article, we address structural place rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7e8abbdfe55975a492310417a3474ac
Autor:
Ayoung Kim, Giseop Kim
Publikováno v:
IROS
We present a novel static point cloud map construction algorithm, called Removert, for use within dynamic urban environments. Leaving only static points and excluding dynamic objects is a critical problem in various robust robot missions in changing
Publikováno v:
ICRA
This paper introduces a multimodal range dataset namely for radio detection and ranging (radar) and light detection and ranging (LiDAR) specifically targeting the urban environment. By extending our workshop paper [1] to a larger scale, this dataset
Autor:
Ayoung Kim, Giseop Kim
Publikováno v:
IROS
Compared to diverse feature detectors and descriptors used for visual scenes, describing a place using structural information is relatively less reported. Recent advances in simultaneous localization and mapping (SLAM) provides dense 3D maps of the e