activity
20202025
most cited4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion

2 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Diff-GNSS: Diffusion-based Pseudorange Error Estimation

Jiaqi Zhu, Shouyi Lu, Ziyao Li +2

Global Navigation Satellite Systems (GNSS) are vital for reliable urban positioning. However, multipath and non-line-of-sight reception often introduce large measurement errors tha…

cs.CV2025

MSDNet: Efficient 4D Radar Super-Resolution via Multi-Stage Distillation

Minqing Huang, Shouyi Lu, Boyuan Zheng +3

4D radar super-resolution, which aims to reconstruct sparse and noisy point clouds into dense and geometrically consistent representations, is a foundational problem in autonomous…

cs.CV2025

4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar

Xiao Tang, Guirong Zhuo, Cong Wang +5

3D reconstruction and novel view synthesis are critical for validating autonomous driving systems and training advanced perception models. Recent self-supervised methods have gaine…

cs.AI2025

MultiEditor: Controllable Multimodal Object Editing for Driving Scenarios Using 3D Gaussian Splatting Priors

Shouyi Lu, Zihan Lin, Chao Lu +3

Autonomous driving systems rely heavily on multimodal perception data to understand complex environments. However, the long-tailed distribution of real-world data hinders generaliz…

cs.CV2025

DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations

Shouyi Lu, Huanyu Zhou, Guirong Zhuo +1

A novel learning-optimization-combined 4D radar odometry model, named DNOI-4DRO, is proposed in this paper. The proposed model seamlessly integrates traditional geometric optimizat…

cs.RO2025

TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition

Shouyi Lu, Guirong Zhuo, Haitao Wang +6

Place recognition is essential for achieving closed-loop or global positioning in autonomous vehicles and mobile robots. Despite recent advancements in place recognition using 2D c…