huazai665 Goto Github PK

6-dof-inertial-odometry

IMU-Based 6-DOF Odometry

agrobot

Neural-Kalman GNSS/INS Navigation for Precision Agriculture

ai-iekf

Invariant Extended Kalman Filter tuning with deep learning for navigation

airship

A Low-Cost, Open-Source, Robotic Airship for Education and Research

alchemist

LLM-Aided End-User Development of Robot Applications

ardupilot

ArduPlane, ArduCopter, ArduRover source

attitude_estimation

Attitude estimation using madgwick filter

autonomous-blimp

Works done at UCLA LEMUR Lab for 2021 Nov Autonomous Blimp Robotic Competition

autonomousblimpdrl

c-toturials

C语言教程

campos

相机标定、位姿估计

chatgpt_ros

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_ekf_vio

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplio

Deep Lidar Inertial Odometry

dido

Project page of 《DIDO:Deep Inertial Quadrotor Dynamical Odometry》

dipr

Deep Inertial Prediction (DIPr)

djim100-people-detect-track

A ros demo for people detection and tracking on DJI M100 drone

djitellopy

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

ecl

Estimation & Control Library for Guidance, Navigation and Control Applications

ekf-for-rnn

This repo uses PyTorch as a framework to train RNN with Extended Kalman Filter.

ekf_fusion

Using an Extended Kalman Filter to calculate a UAV's pose from IMU and GPS data.

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

eskf-attitude-estimation

Error-State KF algorithm to estimate attitude

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fightingcv-paper-reading

⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

gnerf

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

graphsensor

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