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3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

apollo

An open autonomous driving platform

arflow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

awesome-self-driving-car

An awesome list of self-driving cars

bayestracking

C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)

blam

carla

Open-source simulator for autonomous driving research.

ceres_learning

Ceres learning

cmake-cookbook

CMake Cookbook recipes.

cmake-cookbook-1

:book: 作为对《CMake Cookbook》的中文翻译。

cmake-tutorial

CMake tutorial: beamer presentation and sample code

cpp_optimizations_diary

Tips and tricks to optimize your C++ code

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-localization-mapping

A collection of deep learning based localization models

deepfactors

Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

depth_clustering

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

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dsm

Direct Sparse Mapping

dsol

DSOL: Direct Sparse Odometry Lite

dufomap

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

dvo_slam

Dense Visual Odometry and SLAM

dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

elasticfusion

Real-time dense visual SLAM system

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gmplot

Plot data on Google Maps, the easy way.