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16-qam-qpsk-bpsk

Simulation in MATLAB of Digital Communication modulations (BPSK,QPSK,16 QAM) to find the performance and probability of error in Rayleigh and Rician fading environments

2019-ccf-bdci-ocr-mczj-ocr-identificationidelement

2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

2020-ual-factor-graphs-course

2d-3d-point-set-registration-based-on-global-rotation-search

# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong [email protected] # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # Any publications resulting from the use of this code should cite the # following paper: # Yinlong Liu, Yuan Dong, Zhijian Song and Manning Wang, "2D 3D Point Set Registration Based on Global Rotation_Search", IEEE Transactions on Image Processing (TIP) # # #==================Note================= # #1. First step->open demo_rot.m. It is a demo of Rotation Search in SO(3) for 2D-3D point set registration. # #2. The input data is set to a real circumstance that 3D point set is far away for projection plane, and in front of camera. Our method also can be applied to unusual condition that camera is surrounded by 3D point set, only if you make some fix. # #3. RotaionSearch.m is the kernel of algorithm. You can easily extend it to SE(3) searching by grid-search, while tuning parameters depends on your tasks. # #4. Fast and Global 2D-3D point set registration without correspondence is still an open problem and need further explorations. I am very happy that if you could benefit from our code. # # # Author: Yinlong Liu # Date: 20181218 # Revision: 1.0

3d-icp-cov

Code for the paper "A New Approach to 3D ICP Covariance Estimation for Mobile Robotics"

3d-icp-covariance

Source code to estimate the 3D ICP covariance

3d-machine-learning

A resource repository for 3D machine learning

3d-mapping-navigation-of-quadrotors

Mapping and Navigation of Quadrotors in an Indoor environment

3d-pose-estiation-code

3d_place_recognition

Place Recognition for Stereo Visual Odometry using LiDAR descriptors

3d_pose_estimation

3D pose estimation using direct linear transform - exercise for for UPC-240AR052

3d_reconstruction-icp

Implemented Iterative Closest Point (ICP) method for 3d reconstruction

3d_street_view

The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16

3d_vision

3dmapping

Learning to map in 3D

3dobjecttracking

3D Object Tracking in Driving Environment

3pre

matlab code for doing visual SLAM for RGBD SLAM

3pu

Patch-base progressive 3D Point Set Upsampling

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

6dof_stereo_ekf_slam

6 DOF Stereo Visual EKF Slam

a-loam

Advanced implementation of LOAM

a-star

A Star Algorithm for Path Planning

acado_demo

Example stand-alone project using the ACADO Toolkit

adaptive-rgbd-localization-mappig

Real time adaptive visual odometry and mapping for RGB-D cameras

adaptive_clustering

Lightweight and Accurate Point Cloud Clustering

advanced-medical-image-processing

A package for all projects of EECE6357 at Vanderbilt, Adv image processing by Dr. Dawant (papers are in google drive)

advanced_techniques_for_curvefitting

Advanced Technique for Curve Fitting

advio

An Authentic Dataset for Visual-Inertial Odometry

aerial_vehicle_detection

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）