LiDAR Denoising Methods in Adverse Environments: A Review

J Park, S Jo, HT Seo, J Park - IEEE Sensors Journal, 2025 - ieeexplore.ieee.org
Although Light Detection and Ranging (LiDAR) is a sensor type for autonomous vehicles, it
is recognized as an essential tool in various fields, such as drones, Unmanned Surface …

3DR-DIFF: Blind Diffusion Inpainting for 3D Point Cloud Reconstruction and Segmentation

KTY Mahima, AG Perera, S Anavatti… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
LiDAR-based 3D perception is a focal point in autonomous vehicle research due to its
efficacy in real-world environments and falling costs. However, recent research reveals …

LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model

Y Zhang, M Ding, H Yang, Y Niu, M Ge, K Ohtani… - Remote Sensing, 2024 - mdpi.com
The perception systems of autonomous vehicles face significant challenges under adverse
conditions, with issues such as obscured objects and false detections due to environmental …

Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models

A Matteazzi, P Colling, M Arnold, D Tutsch - arxiv preprint arxiv …, 2025 - arxiv.org
LiDAR scenes constitute a fundamental source for several autonomous driving applications.
Despite the existence of several datasets, scenes from adverse weather conditions are …

Revolutionizing Loading Robot Perception: Advanced 3D Carriage Detection Technology

Q Huang, Z **ao, C Kong, W Wu… - … Control and Robotics …, 2024 - ieeexplore.ieee.org
In view of the problems of low efficiency and high cost of manual cloth loading, the
introduction of loading robots has become a key strategy to improve the loading process …