4 citations · 6 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
Boyuan Zheng, Shouyi Lu, Renbo Huang +5
We introduce R2LDM, an innovative approach for generating dense and accurate 4D radar point clouds, guided by corresponding LiDAR point clouds. Instead of utilizing range images or…
UniMSF: A Unified Multi-Sensor Fusion Framework for Intelligent Transportation System Global Localization
Wei Liu, Jiaqi Zhu, Guirong Zhuo +8
Intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent ve…
4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion
Guirong Zhuo, Shouyi Lu, Huanyu Zhou +2
Four-dimensional (4D) radar--visual odometry (4DRVO) integrates complementary information from 4D radar and cameras, making it an attractive solution for achieving accurate and rob…
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
Feng Xue, Guirong Zhuo, Ziyuan Huang +3
In recent years, self-supervised methods for monocular depth estimation has rapidly become an significant branch of depth estimation task, especially for autonomous driving applica…