Faster R-CNN

R-CNN: Regions with Convolutional Neural Network Features

Structured Edge Detection Toolbox

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

Collection and a development kit of matlab mex functions for OpenCV library

Matlab toolbox for Geometry Processing.

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

NetVLAD: CNN architecture for weakly supervised place recognition

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's …

Manopt, a Matlab toolbox for optimization on manifolds

EPnP: Efficient Perspective-n-Point Camera Pose Estimation

Software Development Kit for the Oxford Robotcar Dataset

GNSS and GNSS/INS integration algorithms

SLAM Toolbox

Comparative Evaluation of Hand-Crafted and Learned Local Features

MSCKF 中文注释版

Providing codes (including Matlab and Python) for visualizing numerical experiment results.

Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

TRO 2022 - QPEP: A C++/MATLAB library for solving generalized quadratic pose estimation problems and related uncertainty description

陀螺仪随机误差的 Allan 方差分析

Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function