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Boundary‐enhanced supervoxel segmentation for sparse outdoor LiDAR data

https://doi.org/10.1049/el.2014.3249
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/cvpr.2013.264openalex-snapshot
Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
inferredcites →https://doi.org/10.1109/iros.2010.5650789openalex-snapshot
Path planning in 3D environments using the Normal Distributions Transform
inferredcites →https://doi.org/10.1109/robot.2009.5152473openalex-snapshot
Fast Point Feature Histograms (FPFH) for 3D registration
inferredcites →https://doi.org/10.1177/0278364913491297openalex-snapshot
Vision meets robotics: The KITTI dataset

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Interval Sorting Optimisation Method for Fast Supervoxel Segmentation Based on Manhattan Distance Metric
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Rapid and automatic identification of rock discontinuities from 3D point clouds using supervoxel-based segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103675openalex-snapshot
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104917openalex-snapshot
Bidirectionally greedy framework for unsupervised 3D building extraction from airborne-based 3D meshes
inferred← citeshttps://doi.org/10.1016/j.cagd.2022.102080openalex-snapshot
GPU-based supervoxel segmentation for 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.cviu.2018.06.004openalex-snapshot
Graph based over-segmentation methods for 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e16728openalex-snapshot
Research on echo characteristics in remote detection with the pulse LiDAR of aerial targets under diverse atmospheric conditions
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.05.004openalex-snapshot
Toward better boundary preserved supervoxel segmentation for 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.03.011openalex-snapshot
SVLA: A compact supervoxel segmentation method based on local allocation
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104108openalex-snapshot
Fast supervoxel segmentation of connectivity median simulation based on Manhattan distance
inferred← citeshttps://doi.org/10.1049/el.2015.1580openalex-snapshot
Weighted‐graph‐based supervoxel segmentation of 3D point clouds in complex urban environment
inferred← citeshttps://doi.org/10.1108/aa-07-2020-0096openalex-snapshot
Simulation and deep learning on point clouds for robot grasping
inferred← citeshttps://doi.org/10.1109/access.2023.3293538openalex-snapshot
Boundary-Aware Supervoxel Segmentation for Indoor 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/access.2025.3549622openalex-snapshot
Optimized Grid Voxelization for Obstacle Avoidance in Collaborative Robotics
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00762openalex-snapshot
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
inferred← citeshttps://doi.org/10.1109/icarm52023.2021.9536177openalex-snapshot
A 3D Semantic Visual SLAM in Dynamic Scenes
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00546openalex-snapshot
Superpoint Network for Point Cloud Oversegmentation
inferred← citeshttps://doi.org/10.1109/igarss39084.2020.9323330openalex-snapshot
A Boundary-Enhanced Supervoxel Method for 3D Point Clouds
inferred← citeshttps://doi.org/10.1109/jstars.2021.3093576openalex-snapshot
Robust 3-D Plane Segmentation From Airborne Point Clouds Based on Quasi-A-Contrario Theory
inferred← citeshttps://doi.org/10.1109/lgrs.2020.3037484openalex-snapshot
A Supervoxel Approach to Road Boundary Enhancement From 3-D LiDAR Point Clouds
inferred← citeshttps://doi.org/10.1109/mgrs.2019.2937630openalex-snapshot
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/mmar.2017.8046916openalex-snapshot
Ground plane estimation from sparse LIDAR data for loader crane sensor fusion system
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3313734openalex-snapshot
A Normalized Spatial–Spectral Supervoxel Segmentation Method for Multispectral Point Cloud Data
inferred← citeshttps://doi.org/10.1109/tim.2024.3485393openalex-snapshot
Robust Surface Area Measurement of Unorganized Point Clouds Based on Multiscale Supervoxel Segmentation
inferred← citeshttps://doi.org/10.1109/tits.2017.2701403openalex-snapshot
3-D Road Boundary Extraction From Mobile Laser Scanning Data via Supervoxels and Graph Cuts
inferred← citeshttps://doi.org/10.1109/tpami.2025.3650165openalex-snapshot
GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation
inferred← citeshttps://doi.org/10.3390/rs12030473openalex-snapshot
Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds
inferred← citeshttps://doi.org/10.3390/rs14092024openalex-snapshot
Geometrical Segmentation of Multi-Shape Point Clouds Based on Adaptive Shape Prediction and Hybrid Voting RANSAC
inferred← citeshttps://doi.org/10.3390/rs15163973openalex-snapshot
An Accurate and Efficient Supervoxel Re-Segmentation Approach for Large-Scale Point Clouds Using Plane Constraints
inferred← citeshttps://doi.org/10.3390/rs18060965openalex-snapshot
IAMS (Interior-Anchored Mean-Shift) Algorithm for Supervoxel Segmentation of Airborne LiDAR Roof Points
inferred← citeshttps://doi.org/10.3390/s20123386openalex-snapshot
Semantic-Based Building Extraction from LiDAR Point Clouds Using Contexts and Optimization in Complex Environment
inferred← citeshttps://doi.org/10.3390/s20154209openalex-snapshot
High-Precision Plane Detection Method for Rock-Mass Point Clouds Based on Supervoxel
inferred← citeshttps://doi.org/10.3390/s21010140openalex-snapshot
Real-Time Plane Detection with Consistency from Point Cloud Sequences
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