Search Results for author: Hongchao Fan

Found 5 papers, 2 papers with code

Integrating 3D City Data through Knowledge Graphs

no code implementations17 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.

Knowledge Graphs

Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation

1 code implementation5 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.

object-detection Object Detection +1

Location reference recognition from texts: A survey and comparison

no code implementations4 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.

Computational Efficiency Information Retrieval +2

Automated Detecting and Placing Road Objects from Street-level Images

no code implementations29 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.

Autonomous Vehicles

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