Image de couverture de livre

PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zimmer, Walter, Pranamulia, Ramandika, Zhou, Xingcheng, Liu, Mingyu, Knoll, Alois C.
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Impact of LiDAR Point Cloud Compression on Remote Semantic Segmentation
par: Fernandes, Tiago de S., et autres
Publié: (2025)

LPCM: Learning-based Predictive Coding for LiDAR Point Cloud Compression
par: Sun, Chang, et autres
Publié: (2025)

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
par: You, Kang, et autres
Publié: (2025)

Point Cloud Compression via Constrained Optimal Transport
par: Li, Zezeng, et autres
Publié: (2024)

Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
par: Guo, Tian, et autres
Publié: (2026)

Inter-LPCM: Learning-based Inter-Frame Predictive Coding for LiDAR Point Cloud Compression
par: Sun, Chang, et autres
Publié: (2026)

LiDAR Depth Map Guided Image Compression Model
par: Gnutti, Alessandro, et autres
Publié: (2024)

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
par: Pang, Jiahao, et autres
Publié: (2024)

D-Compress: Detail-Preserving LiDAR Range Image Compression for Real-Time Streaming on Resource-Constrained Robots
par: Wang, Shengqian, et autres
Publié: (2026)

Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions
par: Prazeres, Joao, et autres
Publié: (2024)

Scalable Human-Machine Point Cloud Compression
par: Ulhaq, Mateen, et autres
Publié: (2024)

Point Cloud-Assisted Neural Image Compression
par: Li, Ziqun, et autres
Publié: (2024)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
par: Ma, Wanhao, et autres
Publié: (2025)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
par: Chen, Chuang, et autres
Publié: (2025)

Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
par: Do, Tam Thuc, et autres
Publié: (2023)

An on-chip Pixel Processing Approach with 2.4μs latency for Asynchronous Read-out of SPAD-based dToF Flash LiDARs
par: Liu, Yiyang, et autres
Publié: (2025)

End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
par: Nguyen, Dat Thanh, et autres
Publié: (2024)

Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds
par: Wang, Yameng, et autres
Publié: (2023)

Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
par: Wu, Xinju, et autres
Publié: (2020)

Sparse Point Clouds Assisted Learned Image Compression
par: Jiang, Yiheng, et autres
Publié: (2024)

PVContext: Hybrid Context Model for Point Cloud Compression
par: Zhang, Guoqing, et autres
Publié: (2024)

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
par: Jiang, Junzhe, et autres
Publié: (2025)

Learned Compression for Images and Point Clouds
par: Ulhaq, Mateen
Publié: (2024)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation
par: Hu, Qianjiang, et autres
Publié: (2024)

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
par: Liu, Jiuming, et autres
Publié: (2025)

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
par: Beemelmanns, Till, et autres
Publié: (2024)

Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
par: Yim, Jae-Young, et autres
Publié: (2024)

Point Cloud Compression and Objective Quality Assessment: A Survey
par: Xu, Yiling, et autres
Publié: (2025)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression
par: Luo, Ao, et autres
Publié: (2023)

Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
par: Nguyen, Dat Thanh, et autres
Publié: (2023)

Geometric Prior Based Deep Human Point Cloud Geometry Compression
par: Wu, Xinju, et autres
Publié: (2023)

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
par: Mao, Xiaolong, et autres
Publié: (2024)

Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems
par: Hossain, Md Adnan Faisal, et autres
Publié: (2024)

Feature Compression for Cloud-Edge Multimodal 3D Object Detection
par: Tian, Chongzhen, et autres
Publié: (2024)

Inter-Frame Compression for Dynamic Point Cloud Geometry Coding
par: Akhtar, Anique, et autres
Publié: (2022)

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
par: Zhang, Xiaoge, et autres
Publié: (2024)

Efficient LiDAR Reflectance Compression via Scanning Serialization
par: Zhu, Jiahao, et autres
Publié: (2025)

SALPA: Spaceborne LiDAR Point Adjustment for Enhanced GEDI Footprint Geolocation
par: Tsutsumida, Narumasa, et autres
Publié: (2025)

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
par: Liu, Kai, et autres
Publié: (2024)

Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization
par: Bao, Jingwei, et autres
Publié: (2024)