377 Open source projects that are alternatives of or similar to Spvnas

Interactive Map Correction for 3D Graph SLAM

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

KITTI data processing and 3D CNN for Vehicle Detection

A hackable lidar viewer

Python bindings for the Point Cloud Library (PCL)

Research platform for 3D object detection in PyTorch.

Julia bindings for the displaz 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.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

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

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

3D LIDAR-based Graph SLAM

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

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

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

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

LiDAR fog simulation

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.

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

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

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

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

根据 JSON 自动生成 Model 文件（数据模型）

L-CAS 3D Point Cloud Annotation Tool

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

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

使用树莓派3b来实现无人驾驶汽车

The open source mesh processing system

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Differentiable Surface Splatting

A high-performance neural network library for point cloud processing.

Robotics with GPU computing

A Modular Optimization framework for Localization and mApping (MOLA)

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

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

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

Open Hardware scanning triangulation laser rangefinder

Real-time people tracking using a 3D LIDAR

Extend python lists with .NET's LINQ syntax for clean and fast coding. Also known as PINQ.

Implementation of the Point Transformer layer, in Pytorch

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

Paperlist of awesome 3D detection methods

Drivers for receiving LiDAR data and more

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Python binding of 3D visualization library Pangolin

Intensity-based_Lidar_Camera_Calibration

Vim plugin to suggest better movements

Visualising LIDAR data from KITTI dataset.

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Full-python LiDAR SLAM using ICP and Scan Context

Use LiDAR to map the static world

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

The public CGAL repository, see the README below