Pamphlett

Pamphlett's Stars

• yangjiaolong/Go-ICP

  Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

  Language:C++44298

• wuye9036/CppTemplateTutorial

  中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

  Language:C++9.6k1.6k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.2k

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4.1k945

• PRBonn/semantic_suma

  SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

  Language:C++923205

• DrGabor/LiDAR

  LiDAR data processing

  Language:MATLAB9848

• PaoPaoRobot/SLAMPaperReading

  泡泡机器人北京线下SLAM论文分享资料

  Language:C++19252

• cuitaixiang/LOAM_NOTED

  loam code noted in Chinese（loam中文注解版）

  Language:C++982429

• hyye/lio-mapping

  Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

  Language:C++921322

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++7.7k1.5k

• openMVG/openMVG

  open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

  Language:C++5.7k1.7k

• urbste/MultiCol-SLAM

  This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

  Language:C++626220

• nmellado/Super4PCS

  Efficient Global Point-cloud registration

  Language:C++455215

• yanii/kitti-pcl

  Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL

  Language:C++334119

• tttamaki/ICP-test

  ICP registration test codes for PCL 1.7

  Language:C++6627

• VCCIV/BLVD

  Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

  Language:Python16832

• RainerKuemmerle/g2o

  g2o: A General Framework for Graph Optimization

  Language:C++3.1k1.1k

• stevenliu216/Lidar-Odometry-and-Mapping

  Lidar Odometry and Mapping (J.Zhang et.al). EECS/NAVARCH 568 (Mobile Robotics) Final Project

  Language:C++11147

• gaoxiang12/slambook

  Language:C++6.9k3.3k

• laboshinl/loam_velodyne

  Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

  Language:C++1.7k953

• wvangansbeke/Sparse-Depth-Completion

  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

  Language:Python48278

• amusi/AI-Job-Recommend

  国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

  75485

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k51.1k

• Jinqiang/demo_lidar

  Depth Enhanced Monocular Odometry (camera and lidar version)

  262243

• ankitdhall/lidar_camera_calibration

  ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

  Language:C++1.5k461

• fdyuandong/2D-3D-Point-Set-Registration-Based-on-Global-Rotation-Search

  # 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # 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

  Language:MATLAB2512

• hustcalm/OpenIMUFilter

  A Project aimed to demo filters for IMU(the complementary filter, the Kalman filter and the Mahony&Madgwick filter) with lots of references and tutorials.

  Language:C++9853

• artivis/manif

  A small C++11 header-only library for Lie theory.

  Language:C++1.5k246

• CCNYRoboticsLab/imu_tools

  ROS tools for IMU devices

  Language:C++930432

• PetWorm/sim3_evaluate_tool

  A matlab tool to evaluate trajectory RMSE using sim3 alignment.

  Language:MATLAB5514