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a-loam

Advanced implementation of LOAM

acsc

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

aia

canjiediffusion

Let' create chinese character end2end

classical_robotics

cs231n-2021

my version of cs231n homework

datastructure

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

demo_lidar-1

deq-flow

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

fidibench

FiDiBench is a simple finite difference code that can be used to benchmark performance on HPC systems

ggml

Tensor library for machine learning

intro-to-dl

Resources for "Introduction to Deep Learning" course.

kalman_filter

learn_qt

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

minilernen

learn less is more

odomconfig

Share some config files that I use in open source project with some datasets

orb-line-slam

ORB-LINE-SLAM: An Open-Source Stereo Visual SLAM System with Point and Line Features

pangolin

It's a correct package.

photogrammetric-computer-vision

pl-vins

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

pointcloudprocessing

programming_guidelines

This repository contains style-guides, discussions, eclipse/emacs auto-formatter for commonly used programming languages

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

rootba

Square Root Bundle Adjustment for Large-Scale Reconstruction

sensor_fusion

sensorscalibration

Add script for dummy docker intialzaiton | OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving