1 code implementation • 13 Nov 2024 • Youqi Liao, Xieyuanli Chen, Shuhao Kang, Jianping Li, Zhen Dong, Hongchao Fan, Bisheng Yang
Inspired by the fact that the human brain relies on geometric and semantic understanding of sensory information for spatial localization tasks, we propose the OSMLoc in this paper.
no code implementations • 17 Oct 2023 • Linfang Ding, Guohui Xiao, Albulen Pano, Mattia Fumagalli, Dongsheng Chen, Yu Feng, Diego Calvanese, Hongchao Fan, Liqiu Meng
Moreover, embracing KGs makes it easier to integrate with other spatial data sources, e. g., OpenStreetMap and existing (Geo)KGs (e. g., Wikidata, DBPedia, and GeoNames), and to perform queries combining information from multiple data sources.
1 code implementation • 5 Jul 2023 • Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner
In this work, we propose a semi-supervised learning (SSL) method of automatically estimating building height from Mapillary SVI and OSM data to generate low-cost and open-source 3D city modeling in LoD1.
1 code implementation • 17 Sep 2022 • Xuke Hu, Yeran Sun, Jens Kersten, Zhiyong Zhou, Friederike Klan, Hongchao Fan
A vast amount of geographic information exists in natural language texts, such as tweets and news.
no code implementations • 4 Jul 2022 • Xuke Hu, Zhiyong Zhou, Hao Li, Yingjie Hu, Fuqiang Gu, Jens Kersten, Hongchao Fan, Friederike Klan
Further, there lacks a comprehensive review and comparison of existing approaches for location reference recognition, which is the first and a core step of geoparsing.
no code implementations • 29 Aug 2019 • Chaoquan Zhang, Hongchao Fan, Wanzhi Li, Bo Mao, Xuan Ding
Navigation services utilized by autonomous vehicles or ordinary users require the availability of detailed information about road-related objects and their geolocations, especially at road intersections.