Search Results for author: Samuel S. Mao

Found 2 papers, 0 papers with code

An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution

no code implementations14 May 2021 Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer

In the practical implementation of a construction site, it is sensible to solve the problem with a hybrid solution; therefore, in our study, we proposed an algorithm based on a cutting-edge multi-pathfinding algorithm to enable the massive number of machines cooperation and offer the advice to modify the unreasonable part of the working site in the meantime.

KIT MOMA: A Mobile Machines Dataset

no code implementations8 Jul 2020 Yusheng Xiang, Hongzhe Wang, Tianqing Su, Ruoyu Li, Christine Brach, Samuel S. Mao, Marcus Geimer

Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology.

Autonomous Driving

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