512 Open source projects that are alternatives of or similar to FLAT

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

Papers on 3D Object Detection for Autonomous Driving

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

LiDAR fog simulation

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

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

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

Python bindings for the Point Cloud Library (PCL)

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

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

A hackable lidar viewer

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

The PyTorch Implementation of F-ConvNet for 3D Object Detection

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

Official page of Patchwork (RA-L'21 w/ IROS'21)

KITTI data processing and 3D CNN for Vehicle Detection

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

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Interactive Map Correction for 3D Graph SLAM

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

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

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

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

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.

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Research platform for 3D object detection in PyTorch.

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

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

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

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

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

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

Julia bindings for the displaz lidar viewer

Efficient 3D Deep Learning

A New 3D Detector. Code Will be made public.

3D LIDAR-based Graph SLAM

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Papers and Datasets about Point Cloud.

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

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

Sweep SDK

Semantic3D segmentation with Open3D and PointNet++

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

ML Dataset Governance Policy for Autonomous Vehicle Datasets

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

ECCV 2020 papers focusing on point cloud analysis

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)

ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.

A tool for automatically generating 3D printable STLs from freely available lidar scan data.