Front_end : fastlio2 Back_end : lio_sam

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

The LiDAR segmenters library, for segmentation-based detection.

LeGO-LOAM代码注释与学习

loam code noted in Chinese（loam中文注解版）

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

Advanced implementation of LOAM

Livox horizon porting for loam

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新

Python sample codes and textbook for robotics algorithms.

A list of references on lidar point cloud processing for autonomous driving

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Progressive Morphological Filter for Ground Extraction of Lidar Data using PCL

A list of papers and datasets about point cloud analysis (processing)

My solution to the Udacity Self-Driving Car Engineer Nanodegree Model Predictive Control project

Note for Apollo 3.0 perception, prediction and planning modules

Euro Truck Simulator 2 autonomous driving solution

A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model

经典slam框架论文及代码地址汇总

C++ StateChart Library

Provides Fetch integration for Cartographer.

coursework for coding dojo

YOLO ROS: Real-Time Object Detection for ROS

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

3D point cloud detection

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers