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cs.CV2025

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba

Jiaxu Liu, Li Li, Hubert P. H. Shum +1

Diffusion models currently demonstrate impressive performance over various generative tasks. Recent work on image diffusion highlights the strong capabilities of Mamba (state space…

cs.CV2025

Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving

Wenke E, Chao Yuan, Li Li +4

We present Dur360BEV, a novel spherical camera autonomous driving dataset equipped with a high-resolution 128-channel 3D LiDAR and a RTK-refined GNSS/INS system, along with a bench…

cs.CV2024

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

Li Li

3D LiDAR point cloud data is crucial for scene perception in computer vision, robotics, and autonomous driving. Geometric and semantic scene understanding, involving 3D point cloud…

cs.CV2024

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Li Li, Hubert P. H. Shum, Toby P. Breckon

3D point clouds play a pivotal role in outdoor scene perception, especially in the context of autonomous driving. Recent advancements in 3D LiDAR segmentation often focus intensely…

cs.CV2024

TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training

Li Li, Tanqiu Qiao, Hubert P. H. Shum +1

3D point clouds are essential for perceiving outdoor scenes, especially within the realm of autonomous driving. Recent advances in 3D LiDAR Object Detection focus primarily on the…

cs.CV2024

DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications

Li Li, Khalid N. Ismail, Hubert P. H. Shum +1

We present DurLAR, a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient (near infrared) and reflectivity imagery, as well as a sample benchmark task using depth esti…