Jingyu Song
Jingyu Song | 宋靖宇 - PhD Candidate @ U-M Robotics
Monterey Bay, CA, 2024.05
I am a third year PhD candidate at the University of Michigan Robotics Department, working with Prof. Katie Skinner at Field Robotics Group and Ford Center for Autonomous Vehicle. Before that, I graduated from the University of Michigan with an M.S. in Electrical and Computer Engineering in 2022, where I worked with Prof. Maani Ghaffari, and a B.E. in Electronics and Electrical Engineering from the University of Electronic Science and Technology of China and the University of Glasgow in 2020.
I was a research intern at NVIDIA in 2024, and a research intern at Bosch Corporate Research in 2020, an undergraduate research intern at Intel in 2018.
I am interested in the intersection of robotics, computer vision, and deep learning, with a focus on multi-modal perception, state estimation and mapping for 3D scene understanding. I am also interested in the application of these technologies in autonomous driving and field robotics.
news
Oct 28, 2024 | Our paper MemFusionMap is accepted to WACV 2025! 🎉 |
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Oct 14, 2024 | We present our work 🐢 TURTLMap at IROS 2024! Check our LinkedIn Post! |
Aug 23, 2024 | I have concluded my internship at NVIDIA. It was a great experience working with the team pushing the boundaries of temporal reasoning for mapless autonomous driving 🚗. Check out our paper MemFusionMap on arXiv! |
selected publications
- WACVMemFusionMap: Working Memory Fusion for Online Vectorized HD Map ConstructionarXiv preprint arXiv:2409.18737, 2024