Cover Image

Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xinyu, Ibrahim, Muhammad, Mansoor, Atif, Tareque, Hasnein, Mian, Ajmal
Format:	Preprint
Published:	2025
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

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

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
by: Kumar, Aakash, et al.
Published: (2024)

Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes
by: Ibrahim, Muhammad, et al.
Published: (2025)

FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2025)

LiDAR-based 3D Change Detection at City Scale
by: Albagami, Hezam, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
by: Zhou, Sifan, et al.
Published: (2024)

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
by: Wang, Yanbo, et al.
Published: (2024)

BAWSeg: A UAV Multispectral Benchmark for Barley Weed Segmentation
by: Wang, Haitian, et al.
Published: (2026)

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

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)

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
by: Zheng, Yu, et al.
Published: (2023)

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

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

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

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

Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
by: Edirimuni, Dasith de Silva, et al.
Published: (2026)

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

POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
by: Shi, Yining, et al.
Published: (2025)

PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
by: Zhu, Jiahao, et al.
Published: (2026)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
by: Rozsa, Z., et al.
Published: (2026)

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
by: Lu, Dening, et al.
Published: (2024)

RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
by: Fu, Jingyun, et al.
Published: (2025)

Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
by: Nguyen, Khanh, et al.
Published: (2025)

Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands
by: Wang, Haitian, et al.
Published: (2025)

LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments
by: Wei, Chenfeng, et al.
Published: (2025)

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
by: Gao, Yuan, et al.
Published: (2025)

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
by: Nisar, Barza, et al.
Published: (2025)