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UAV Motion-Planning Path-Planning A*, Kinodynamic A*, RRT, RRT*, SE(3)Planning, Minimum-Snap

A simple UAV simulator

An Efficient Framework for Fast UAV Exploration

电子科技大学课程资料共享平台. Course material sharing platform of UESTC.

ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)

An optimization-based multi-sensor state estimator

A PyTorch implementation of the Transformer model in "Attention is All You Need".

End-to-End Object Detection with Transformers

Efficient neural feature detector and descriptor

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Pytorch Implementation of rpautrat/SuperPoint

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

Detailed comments for ORB-SLAM3

superpoint feature extraction without dynamic points

HFNet-SLAM: An accurate and real-time monocular SLAM system with deep features

无人机检测、跟踪数据集

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Build your neural network easy and fast, 莫烦Python中文教学

VINS-Mono support superpoint to extract features

使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

PyTorch implementation of Deep Homography Estimation.

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

easy sample code for minimum snap trajectory planning in MATLAB

Add gui for YoloV5 using PyQt5