350 Open source projects that are alternatives of or similar to 3d_cnn_tensorflow

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Python bindings for the Point Cloud Library (PCL)

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Interactive Map Correction for 3D Graph SLAM

Research platform for 3D object detection in PyTorch.

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

3D LIDAR-based Graph SLAM

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

LiDAR fog simulation

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

R package for airborne LiDAR data manipulation and visualisation for forestry application

Julia bindings for the displaz lidar viewer

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A hackable lidar viewer

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

NCSU GIS595/MEA792: UAV/lidar Data Analytics

No description or website provided.

ROS Catkin package to track people using octree and cluster extraction

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

R package to read and write las and laz files used to store LiDAR data

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

Augmentation package for 3d data based on albumentaitons

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

Point Cloud Compression used in i3s Scene Layer Format

Pure Numpy Implementation of the Coherent Point Drift Algorithm

converts set of point clouds to a video using three.js

Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

A tool used for calibrate the extrinsic between 2D laser range finder (LRF) and camera. ROS Version: https://github.com/TurtleZhong/camera_lidar_calibration_v2

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Algorithm that converts point cloud data into an occupancy grid

Probabilistic line extraction from 2-D range scan

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

Papers on 3D Object Detection for Autonomous Driving

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

The open-source tool for creating of 3D models

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS

PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

Extension of RealSense Unity Wrapper [Unofficial]

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

Development kit for Pandora