Shu-Wei Lu
I am an incoming Ph.D. student at TU Delft, advised by Prof. Holger Caesar. Previously, I worked as a research assistant at National Yang Ming Chiao Tung University with Prof. Yi-Ting Chen, Dr. Yi-Hsuan Tsai, and Prof. Wei-Lun Chao.
I am an incoming Ph.D. student at TU Delft, advised by Prof. Holger Caesar. Previously, I worked as a research assistant at National Yang Ming Chiao Tung University with Prof. Yi-Ting Chen, Dr. Yi-Hsuan Tsai, and Prof. Wei-Lun Chao.
GaussianLSS - Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
CVPR, 2025
project page / paper / code
We propose GaussianLSS, an uncertainty-aware BEV perception framework that revisits the Lift-Splat-Shoot paradigm and enhances it with depth distribution modeling. By transforming per-pixel depth distributions into 3D Gaussians, our method constructs spatially-aware BEV features that are both efficient and accurate.
Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification
ICRA, 2025
project page / paper / code
We study behavior change-based visual risk object identification (Visual-ROI), a critical framework designed to detect potential hazards for intelligent driving systems.
Action-slot: Visual Action-centric Representations for Atomic Activity Recognition in Traffic Scenes
CVPR, 2024
project page / CVF / arXiv / code / TACO dataset
We use Action-slot to represent atomic activities. The learned attention can discover and localize atomic activities with only weak video labels and without using any perception module (e.g., object detector).
RiskBench: A Scenario-based Benchmark for Risk Identification
ICRA, 2024
project page / paper / code / dataset
The FIRST benchmark that enables evaluation of various types of risk identification algorithms, including rule-based, trajectory-prediction-based, collision prediction, and behavior-change-based methods. We also assess the influence of risk identification on downstream driving tasks.