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Can Xu Hello! 👋 I'm Can Xu, a second-year master’s student in the Electrical and Computer Engineering Department at Carnegie Mellon University. Currently, I serve as a research assistant at the AirLab within the Robotics Institute at CMU. I am working under the guidance of Prof. Sebastian Scherer. I also collaborate closely with Prof. Jenny Geng. Previously I worked with Prof. Xiangxue Zhang at Beijing Forestry University. My research primarily focuses on Learning-Based Inertial Odometry Algorithms, Deep Learning, and Robot Perception. Email / Google Scholar / LinkedIn / Github |
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Research
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AirIO: Learning Inertial Odometry with Enhanced Observability
Yuheng Qiu*, Can Xu*, Yutian Chen, Shibo Zhao, Junyi Geng, Sebastian Scherer submitted to IEEE RA-L, 2024 website / arXiv AirIO, a novel learning-based IO framework that achieves state-of-the-art accuracy for UAVs. |
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AirIMU: Learning Uncertainty Propagation for Inertial Odometry
Yuheng Qiu*, Chen Wang*, Can Xu, Yutian Chen, Xunfei Zhou, Youjie Xia, Sebastian Scherer submitted to IEEE T-RO, 2024 website / arXiv / GitHub / Video AirIMU, a hybrid learning-based Inertial Odometry system designed for state estimation and uncertainty propagation. |
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SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Yuheng Qiu, Warren Whittaker, Ian Higgins, Yi Du, Shaoshu Su, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian Scherer CVPR, 2024 website / arXiv / Video SubT-MRS,the first real-world dataset that specifically addresses failure scenarios of SLAM by incorporating a variety of degraded conditions, multiple robotic platforms, and diverse sets of multimodal sensors.It comprises DARPA Subterranean (SubT) Challenge and diverse envrionments. |
Education |
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Carnegie Mellon University
M.S. in Electrical and Computer Engineering (Jan 2023 - Dec 2024) |
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Beijing Forestry University
B.Eng. in Electronics Information Science and Technology (Sept 2018 - June 2022) |
Teaching• Teaching assistant for 18794 : Introduction to Deep Learning and Pattern Recognition for Computer Vision in Fall 2024 |
Service• Organizers for ICCV 2023 SLAM Challenge3 |
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Based on Jon Barron's public academic website's source code. |