M
Ming-Chang Wen
Researcher at National Taiwan University
Publications - 7
Citations - 374
Ming-Chang Wen is an academic researcher from National Taiwan University. The author has contributed to research in topics: Construction management & Stereopsis. The author has an hindex of 4, co-authored 6 publications receiving 274 citations.
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Journal ArticleDOI
A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering
P.C.K. Liu,Albert Y. Chen,Yin-Nan Huang,Jen-Yu Han,Jihn-Sung Lai,Shih-Chung Kang,Tzong-Hann Wu,Ming-Chang Wen,Meng-Han Tsai +8 more
TL;DR: An overview of the state of UAV developments and their possible applications in civil engineering is given and the latest developments in technologies related to UAVs are reviewed, such as control theories, navigation methods, and image processing.
Journal ArticleDOI
Game-based education for disaster prevention
TL;DR: A flood game to encourage players’ active learning by exploration and recognize game-initiated learning as an educational method with great potential in teaching disaster management is developed.
Proceedings ArticleDOI
Augmented Reality and Unmanned Aerial Vehicle Assist in Construction Management
Ming-Chang Wen,Shih-Chung Kang +1 more
TL;DR: The UAV-AR system has the potential for discovering unnoticed detail problems in real construction site, such as vehicle path planning conflicts and structure spatial dilemmas, and the combination of real and virtual scene provide engineers augmented views to the construction site.
Proceedings ArticleDOI
An Optimized Unmanned Aerial System for Bridge Inspection
TL;DR: In this paper, an innovative approach for conducting bridge inspections by optimizing an unmanned aerial system (UAS) was proposed, where the rotorcraft is used to carry the camera gimbal for capturing images.
Journal ArticleDOI
Teleyes: A telepresence system based on stereoscopic vision and head motion tracking
TL;DR: The results show that the Teleyes system has significantly improved the visual experience and operating efficiency, thus having the potential to save resources and expand the application of unmanned vehicle systems (UVSs).