Soohwan Song

Assistant Professor

Dongguk University

South Korea

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About

Soohwan Song is an Assistant Professor at Dongguk University in South Korea. His research interests include multi-view stereo techniques, 3D model reconstruction, and path planning for unmanned aerial vehicles (UAVs). He has authored several recent articles focused on enhancing the accuracy and efficiency of feature matching and automated systems for robotic applications.

Articles (9)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2021

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2020

Collaborators (2)

Markus Gerke

Technische Universität Braunschweig

GERMANY

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Mehdi Maboudi

Technische Universität Braunschweig

GERMANY

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Soohwan Song

Research Interests

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Articles (9)

MVS-GS: High-Quality 3D Gaussian Splatting Mapping via Online Multi-View Stereo

TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching

A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction

Prior depth-based multi-view stereo network for online 3D model reconstruction

Anytime Lifelong Multi-Agent Pathfinding in Topological Maps

Design and experimentation of remote driving system for robotic speed sprayer operating in orchard environment

View Path Planning via Online Multiview Stereo for 3-D Modeling of Large-Scale Structures

Sequential Depth Completion With Confidence Estimation for 3D Model Reconstruction

Online coverage and inspection planning for 3D modeling

Collaborators (2)

Markus Gerke

Mehdi Maboudi

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