465 Open source projects that are alternatives of or similar to LiDAR_fog_sim

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

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

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

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

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

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

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

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

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

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

This repo detect objects automatically for LiDAR data

Python bindings for the Point Cloud Library (PCL)

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

KITTI data processing and 3D CNN for Vehicle Detection

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Interactive Map Correction for 3D Graph SLAM

Papers on 3D Object Detection for Autonomous Driving

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

Research platform for 3D object detection in PyTorch.

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

A hackable lidar viewer

Papers and Datasets about Point Cloud.

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

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

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

Collection of Python snippets for processing LiDAR point cloud.

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

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

Julia bindings for the displaz lidar viewer

Create 3D labelled bounding boxes in RViz

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

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

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

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

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

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

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

3D LIDAR-based Graph SLAM

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

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

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

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

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

A Modular Framework for LiDAR-based Lifelong Mapping

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

CJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

No description or website provided.

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

An implementation of AVP-SLAM and some new contributions