Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes
Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto,Continue Reading
Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto,Continue Reading
Authors: Maryam Jameela, Gunho Sohn, Sunghwan Yon Department of Earth and Space Science and Engineering, York University Toronto, ON M3JContinue Reading
The next natural step of the pipeline for scene understanding and classification is semantic segmentation, which labels every point andContinue Reading
The 3DMMAI pipeline includes several stages of post data acquisition processing, and the first significant step is noise filtering. LiDARContinue Reading
A LURA (Lassonde Undergraduate Research Assistant) Undergraduate Student, Sidharth Sudrasan in the Software Engineering Program at York University, has beenContinue Reading
Zahra Arjmandi (2nd year Ph.D. student), Dr. Jungwon Kang and Kunwoo Park (M.Sc. Student graduated in 2020) in the labContinue Reading
Our paper (“Ultra-wideband aided UAV positioning using incremental smoothing with ranges and multilateration”) was accepted by the IROS 2020 (https://www.iros2020.org/)Continue Reading
Eros Gulo successfully defended his oral thesis examinations on May 28, 2020. The title of his Master’s thesis is “IndoorContinue Reading
This article was published in YFile – York University’s News ( http://yfile.news.yorku.ca/2019/11/29/york-u-researchers-play-major-role-in-advancing-autonomous-rail-travel/ ) It is no secret that technology isContinue Reading
In this project, we study the role of high-level geometric topological cues such as 3D primitive representation of indoor corridorsContinue Reading









