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Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020
An open autonomous driving platform
Caffe on both Linux and Windows
Lane Finding Project for Self-Driving Car ND
A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (Nov. 2020) :fire::fire:
The deeplearning algorithms implemented by tensorflow
DyNet: The Dynamic Neural Network Toolkit
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
Hidden Markov Models in Python, with scikit-learn like API
Intensity-based_Lidar_Camera_Calibration
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
Lidar Obstacle Detection - Filter(Voxel-Grid filter and Cropping), segment(3D Ransac algorithm), and cluster (3D kd-tree and euclidean clustering) real point cloud data to detect obstacles in a driving environment.
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
This is a lidar segmentation method based on range image.
A list of references on lidar point cloud processing for autonomous driving
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.