Zhang Qi is a first-year PhD student in the computer vision group at UvA, researching the optimization of the tracking module for Gaussian SLAM under the joint supervision of Dr. Martin R. Oswald, Dr. Sezer Karaoglu, and Prof. Theo Gevers.
During the master’s studies at the University of Glasgow, he is working on optimizing monocular vSLAM in dynamic environments for his final year project under the supervision of Prof. Paul Siebert, alongside collaborating on the Camera-Assisted Algorithm for Autonomous Exploration Aiding the Visually Impaired in dynamic environments with Dr. Zhihao Lin and Dr. Zhen Tian under the supervision of Dr. Jianglin Lanin Glasgow(One has been published in IEEE sensors and the remaining five are under review.). He has previously worked on solving semantic SLAM problems in dynamic environments and has published as the first author and corresponding author in MST(JCR:q1). Outside his research work, he is an outstanding beatbox performer and an amateur long-distance runner (10km/40min).
MSc in Data Science, 2022
University Of Glasgow
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• Method overview:
The semantic module only combines the ORB-SLAM3 and YOLOX-s
The mapping module refers to a system for semantic Labelling 3D Point Cloud in vSLAM
- X. Qi, S. Yang, and Y. Yan, Deep Learning Based Semantic Labelling of 3D Point Cloud in Visual SLAM, 10 2018, vol. 428, p. 012023.
• Open source work: The work is open source on Github and presented on Bili (8000+v).
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.I welcome exchanges and collaborations with fellow scholars. Undergraduate students are also welcome to work together on projects. Please feel free to contact me.