jtpils

bevlshaper

Algorithm for bird's-eye-view L-shape fitting in 3D LIDAR point clouds from traffic scenarios

Lane-Detection-from-Point-Cloud

Detect lanes from the point cloud of a 80-meter highway road

lidar-bonnetal-1

squeezeseg, squeezesegV2, DarkNet for SemanticKITTI and SemanticPOSS

Lidar_For_AD_references

A list of references on lidar point cloud processing for autonomous driving

MFFNet

A neural network with Multi-modal Fusion Feature for point cloud classification and semantic segmentation, based on PointNet++

mim_slam

3D LiDAR SLAM including point-to-plane icp and loop closure

PointNet_with_CRF

Post processing for the result of PointNet semantic segmentation with CRF

Svm_AirbornPointCloudClassify

基于支持向量机的机载点云分类

TreeGAN

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

vtkplotter

A python class for scientific visualization of 3D objects with VTK

jtpils/lidar-bonnetal-1

squeezeseg, squeezesegV2, DarkNet for SemanticKITTI and SemanticPOSS

jtpils/BAN

Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds（BAN)

jtpils/3d-building-reconstruction

jtpils/3D_building_reconstruction

MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.

jtpils/3DPlan

The 3DPlan algorithm was developed during my diploma thesis, entitled "Automated detection of edges in point clouds using semantic information", at the School of Rural and Surveying Engineering of the National Technical University of Athens, which is available at ThodorisBetsas_DiplomaThesis. At first, the 3DPlan algorithm enriches the given images with a new channel including the edge semantic information. Thus the three-channel images (RGB) are transformed into four-channel (RGBL). Afterwards, the four-channel images are inserted into an SfM-MVS software to produce initially a sparse and finally, a dense point cloud which is enriched with the edge semantic information.

jtpils/BoundaryAwareGEM

Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds (AAAI2021)

jtpils/dcm-net

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

jtpils/DeepBulidingPlanes

jtpils/DeepDT

Code4DeepDT

jtpils/earth-reverse-engineering

Reversing Google's 3D satellite mode

jtpils/HDGCN

jtpils/holicity

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures

jtpils/IndividualTreeExtraction

Individual Tree Extraction from Urban Mobile Laser Scanning Point Clouds Using Deep Pointwise Direction Embedding

jtpils/JS3C-Net

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

jtpils/kailigo.github.io

jtpils/LeafSurfaceReconstruction

A Robust Leaf Surface Reconstruction Method for 3D Plant Phenotyping

jtpils/MeshCompletion

Structure-aware completion of images in urban road environment.

jtpils/MS_RRFSegNet

MS-RRFSegNet: Multi-Scale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds

jtpils/MS_RRFSegNet-1

MS-RRFSegNet: Multi-Scale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds

jtpils/Multi-granularity-Semantic-Labeling-with-Structure-Modeling-TIM

Multi-granularity Semantic Labeling of Point Clouds for the Measurement of the Rail Tanker Component with Structure Modeling（IEEE TIM）

jtpils/Open3D-ML

An extension of Open3D to address 3D Machine Learning tasks

jtpils/point_cloud_scene_completion

Point Cloud Scene Completion of Obstructed Building Facades with Generative Adversarial Inpainting

jtpils/Point_Cloud_Segmentation-2

Point Cloud Segmentation of Lidar Point Cloud Data

jtpils/pt2pc

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

jtpils/sane

SAnE: Smart annotation and evaluation tool for point cloud data

jtpils/SceneEncoder

SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor (IJCAI 2020)

jtpils/softpool

Point cloud completion with soft-pool operation

jtpils/SSRNet

jtpils/TF2DeepFloorplan

A Tensorflow2 implementation of Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention paper

jtpils/TP-LSD

Official implementation of paper "TP-LSD: Tri-points based line segment detector" .