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3d-reconstruction-with-deep-learning-methods

List of projects for 3d reconstruction

4dmos

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

abseil-cpp

Abseil Common Libraries (C++)

auto_labelling

awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

cmake-c-project-template

This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.

csf

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

dcpcr

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments

delora

Self-supervised Deep LiDAR Odometry for Robotic Applications

denseweight

The imbalanced regression method DenseWeight

density-based-weighting-for-imbalanced-regression

Code for the paper "Density-based weighting for imbalanced regression"

docker_kinetic

evo

Python package for the evaluation of odometry and SLAM

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

hand-pointnet

Hand PointNet: 3D Hand Pose Estimation using Point Sets

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

hunter_ros2

hunter_ros2 package

icp_localization

This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).

ihloc

inference_model

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kiss-icp

A LiDAR odometry pipeline that just works

lidar_ground_removal

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

localization_exp

logical_camera

lts-net

long-term stability net

lts_filter

Long-Term Stability (LTS) points filter

mapmos

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)

mapping_exp