Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds (original) (raw)

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Mathieu Brédif

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

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RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

Mathieu Brédif

2019

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KPRNet: Improving projection-based LiDAR semantic segmentation

Fatemeh Karimi Nejadasl

ArXiv, 2020

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A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning

Rafika HAJJI

Remote Sensing

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RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

Ignacio Vizzo

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

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SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Tiago Cortinhal

ArXiv, 2020

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Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

sheikh khalid

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

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Fast and Lite Point Cloud Semantic Segmentation for Autonomous Driving Utilizing LiDAR Synthetic Training Data

Benazouz Bradai

IEEE Access

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SHREC 2020: 3D point cloud semantic segmentation for street scenes

Agustín Trujillo

Computers & Graphics, 2020

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Deep FusionNet for Point Cloud Semantic Segmentation

Benjamin W. Wah

Springer eBooks, 2020

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Saint Petersburg 3D: Creating a Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications

Vladimir Badenko

Remote Sensing

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SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy

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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Linhai Xie

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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SalsaNext: Fast, Uncertainty-Aware Semantic Segmentation of LiDAR Point Clouds

Tiago Cortinhal

2020

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DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

Дмитрий Юдин

IEEE Access

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End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving

Mohammed Abdou

ArXiv, 2019

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Investigation of Pointnet for Semantic Segmentation of Large-Scale Outdoor Point Clouds

Roderik Lindenbergh

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021

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Deep Learning for Semantic Segmentation of 3D Point Cloud

Francesca Matrone

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019

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TempNet: Online Semantic Segmentation on Large-scale Point Cloud Series

tiankai cui

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

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Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

Linhai Xie

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds

Jhonatan Velasquez Contreras

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020

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Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation

1DC19AT021 DARSHAN HEGDE

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019

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Deep learning for LiDAR-only and LiDAR-fusion 3D perception: a survey

Intelligence & Robotics

Intelligence & Robotics, 2022

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Evaluation of Class Distribution and Class Combinations on Semantic Segmentation of 3D Point Clouds With PointNet

Harald Sternberg

IEEE Access

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PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation

Sindhu Hegde

Computers & Graphics, 2021

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Semantic segmentation of surface from lidar point cloud

Aritra Mukherjee

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DPRNet: Deep 3D Point based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds

saira arshad

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Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds

Abderrazzaq KHARROUBI

Remote Sensing, 2024

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Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration

Tom Duckett

IEEE Robotics and Automation Letters

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Benchmarking Deep Learning Models on Point Cloud Segmentation

Guillem Molina

Frontiers in Artificial Intelligence and Applications, 2021

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An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation

Hesham Eraqi

ArXiv, 2021

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Vehicle Detection and Localization using 3D LIDAR Point Cloud and Image Semantic Segmentation

Joaquin López

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018

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