Peizheng Li
PhD Researcher | Spatial Intelligence · Embodied AI · Foundation Models for Physical World
My research focuses on building autonomous systems that can perceive, model, and reliably act in the 3D physical world, spanning 3D/4D dynamics scene understanding, open world modeling, spatial intelligence and embodied systems.
I am a PhD researcher at the University of Tübingen and Mercedes-Benz AG R&D, advised by Prof. Andreas Geiger and Prof. Andreas Zell. My work bridges academic research and industrial-scale engineering, spanning real-world vehicle constraints and large-scale data pipelines, with publications at CVPR, ICCV, ECCV, and IJCAI as first or core author across four consecutive years.
News
| Feb 26, 2026 | Our SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving paper is accepted by CVPR 2026. 🎉 The 1st ranking on nuScenes benchmark and 2nd best close-loop performance on Bench2Drive leaderboard! |
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| Jun 25, 2025 | Our AGO: Adaptive Grounding for Open World 3D Occupancy Prediction paper is accepted by ICCV 2025. 🎉 |
| Jul 01, 2024 | Our SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving paper is accepted by ECCV 2024. 🎉 The 1st ranking on Argoverse 2 Self-supervised scene flow leaderboard! |
| Apr 19, 2023 | PowerBEV, our paper on camera-based end-to-end instance prediction in bird’s-eye view, has been accepted by IJCAI 2023. 🎉 |
Publication Highlights
- CVPR 2026
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous DrivingInfusing explicit spatial representations into vision-language models for robust autonomous driving with 3D spatial reasoning.In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 - ICCV 2025
- IJCAI 2023
Blogs
| Dec 24, 2025 | SpaceDrive:Infusing Spatial Awareness into VLM-based Autonomous Driving |
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| Dec 15, 2025 | In the Perspective of Manifold Hypotheses - 2 |
| Nov 25, 2025 | In the Perspective of Manifold Hypotheses - 1 |