137 Open source projects that are alternatives of or similar to Livox Sdk

DJI Onboard SDK Official Repository

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

LiDAR-Inertial 3D Plane Simulator

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

An extension of Open3D to address 3D Machine Learning tasks

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

Open Source TOF Lidar

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

LiDAR SLAM: Scan Context + LeGO-LOAM

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

3D LIDAR-based Graph SLAM

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

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

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

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

A hackable lidar viewer

Interactive Map Correction for 3D Graph SLAM

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

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

PyTorch Implementation of PIXOR

KITTI data processing and 3D CNN for Vehicle Detection

A curated list of awesome data labeling tools

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

Development kit for Pandar40

Read and write ASPRS las files, Rust edition.

Real-time people tracking using a 3D LIDAR

Advanced implementation of LOAM

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Tool for convert files into Magicavoxel file

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

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

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Full-python LiDAR SLAM using ICP and Scan Context

loam code noted in Chinese（loam中文注解版）

A Python package for delineating nested surface depressions from digital elevation data.

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

Open Source scanning laser rangefinder

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

Point cloud registration pipeline for robot localization and 3D perception

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.

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

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

Research platform for 3D object detection in PyTorch.

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)

Tools for analyzing aerial point clouds of forest data.

The open-source tool for creating of 3D models

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

Use LiDAR to map the static world

WhiteboxTools Python Frontend

Open Hardware scanning triangulation laser rangefinder

Export an OBJ file of ARKit 3.5 iPad Pro LIDAR scans

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics