Cover Image

Industrial3D: A Terrestrial LiDAR Point Cloud Dataset and CrossParadigm Benchmark for Industrial Infrastructure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Chao, Yue, Hongzhe, Han, Qing, Hu, Difeng, Liang, Zhenyu, Lin, Fangzhou, Sun, Bing, Wang, Boyu, Li, Mingkai, Yao, Wei, Cheng, Jack C. P.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
by: Fang, Jin, et al.
Published: (2023)

LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application
by: Lu, Yawen, et al.
Published: (2024)

Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS
by: Wang, Xinyu, et al.
Published: (2025)

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
by: Jiang, Junzhe, et al.
Published: (2025)

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
by: Zhang, Junge, et al.
Published: (2023)

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
by: Cai, Xinyu, et al.
Published: (2022)

TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023)

Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
by: Wu, Yang, et al.
Published: (2024)

Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation
by: Zhang, Fei, et al.
Published: (2025)

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
by: Liu, Jiuming, et al.
Published: (2025)

Real-time Neural Rendering of LiDAR Point Clouds
by: Vanherck, Joni, et al.
Published: (2025)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
by: Chen, Chuang, et al.
Published: (2025)

Unlocking Generalization Power in LiDAR Point Cloud Registration
by: Zeng, Zhenxuan, et al.
Published: (2025)

Physics-Aware Diffusion for LiDAR Point Cloud Densification
by: Zhang, Zeping, et al.
Published: (2026)

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
by: Wei, Haiyun, et al.
Published: (2025)

LiZIP: An Auto-Regressive Compression Framework for LiDAR Point Clouds
by: Shibu, Aditya, et al.
Published: (2026)

LiDAR Point Cloud-based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association
by: Ding, Guanhua, et al.
Published: (2024)

Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
by: Luo, Katie Z, et al.
Published: (2025)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
by: Cai, Mu, et al.
Published: (2024)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation
by: Hu, Qianjiang, et al.
Published: (2024)

On the Impact of LiDAR Point Cloud Compression on Remote Semantic Segmentation
by: Fernandes, Tiago de S., et al.
Published: (2025)

Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain
by: Gump, Avery, et al.
Published: (2026)

Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds
by: Wang, Xinyu, et al.
Published: (2025)

Towards Practical Lossless Neural Compression for LiDAR Point Clouds
by: Yu, Pengpeng, et al.
Published: (2026)

Towards Practical Human Motion Prediction with LiDAR Point Clouds
by: Han, Xiao, et al.
Published: (2024)

Bench-RNR: Dataset for Benchmarking Repetitive and Non-repetitive Scanning LiDAR for Infrastructure-based Vehicle Localization
by: Zhao, Runxin, et al.
Published: (2025)

MR-LiDAR: A Multi-Resolution Roadside LiDAR Benchmark for Perception Diagnostics and Deployment Guidance
by: Cui, Shunlai, et al.
Published: (2026)

Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing
by: Lu, Dening, et al.
Published: (2024)

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
by: Liu, Yujia, et al.
Published: (2024)

LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map
by: Wu, Xinrui, et al.
Published: (2024)

LPCM: Learning-based Predictive Coding for LiDAR Point Cloud Compression
by: Sun, Chang, et al.
Published: (2025)

Contextual Range-View Projection for 3D LiDAR Point Clouds
by: Mousavi, Seyedali, et al.
Published: (2026)

Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds
by: Lichtenfeld, Jonathan, et al.
Published: (2024)

Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer
by: Farzanullah, Mohammad, et al.
Published: (2024)

Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
by: Kuwabara, Akihiro, et al.
Published: (2025)

Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences
by: Zhang, Mellon M., et al.
Published: (2025)

LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping
by: Li, Rundong, et al.
Published: (2024)

EEPNet-V2: Patch-to-Pixel Solution for Efficient Cross-Modal Registration between LiDAR Point Cloud and Camera Image
by: Yue, Yuanchao, et al.
Published: (2025)

CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling
by: Shen, Hongming, et al.
Published: (2024)

DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration
by: Hu, Xiangcheng, et al.
Published: (2025)