SLAM

1. List

• Trello_SLAM Research Curation Bopard

• awesome-SLAM-list

• The list of vision-based SLAM / Visual Odometry

2. Paper

• 무인-시스템의-자율-주행을-위한-영상기반-항법기술-동향: 비쥬얼 서보잉, 비쥬얼 오도메트리, 영상기반 SLAM, 2015

• Visual SLAM algorithms: a survey from 2010 to 2016

• Road-SLAM : Road marking based SLAM with lane-level accuracy: 2017, 카이스트

• The SLAM problem: a survey: 2008

• Semantic mapping for mobile robotics tasks: A survey: 2015

• A Survey of Visual SLAM Based on Deep Learning: 2017

• Simultaneous Localization And Mapping: A Survey of Current Trends in Autonomous Driving:2017

• Toward Geometric Deep SLAM: ?? 2017, reddit

• CNN-SLAM - Real-Time Dense Monocular SLAM With Learned Depth Prediction : CVPR 2017, Youtube

• Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age : 2016

• Dense Semantic SLAM: Moreno's PhD thesis, 2014, Supervised by Prof. Andrew Davison

• A Survey of Simultaneous Localization and Mapping on Unstructured Lunar Complex Environment: 2017

• Simultaneous Localization and Mapping for Navigation in Realistic Environments: Guido Zunino, 2002, 77p

3. Article (Post, blog, etc.)

• Brief Review on Visual SLAM: A Historical Perspective: 2016

• [SLAM] Graph-based SLAM (Pose graph SLAM)

• Lidar를 이용한 SLAM 구현하기

• SLAM your robot or drone with Python and a $150 Lidar: 로봇 청소기의 Lidar이용($149), Python 코드 + 노트북/아두이노 연결

• The Future of Real-Time SLAM and Deep Learning vs SLAM(30%): 2016,아직은 딥러닝과 SLAM사이에는 갭이 있고 시멘틱 슬램이 하나의 융합 결과 이다.

• How can Deep Learning help Robotics and SLAM : SLAM + Deeplearning 융합 연구 결과 언급 (추후 논문 리뷰시 참고)

• One way Google’s cars localize themselves

4. Youtube

• Introduction to VSLAM Presentation: 1:28분, 2013

• Real-Time Visual Localisation and Mapping with a Single Camera: Andrew Davison, Imperial College London, MS Research, 1:09분, 2016,

• Keyframe-based SLAM for hand-held Augmented Reality : AR, MS Research, 2016

• Online SLAM - Artificial Intelligence for Robotics: 8:49초, 2015, Udacity
  • Localization Program - Artificial Intelligence for Robotics
  • Localization Program Solution - Artificial Intelligence for Robotics

• SLAM Tutorial: 특강, BrownCS141 Spring 2014,

• Introduction to Robotics Course :Lecture 13 - SLAM - Robotic Mapping, 특강

• Introduction to Robotics Course :Lecture 15 - SLAM Examples: 특강, Multi Robot SLAM and Map Merging

• Claus Brenner: LiDAR SLAM강의, python코드 제공, 2013

• Cyrill Stachniss: 강의, 2013

Localization And Particle Filters 1

5. Tutorial (Series,Class )

• 3D Object Recognition with Deep Networks Project for the 3D Vision course at ETHZ

• The English version of 14 lectures on visual SLAM. : 2/14만 완료

6. Material

• The Future of Real-Time SLAM, ICCV 2015

• 15 Years of Visual SLAM : ppt, Andrew Davison, 2015

• SLAM for Dummies: pdf, 40page

• Simulataneous localization and mapping with the extended Kalman filter: pdf(35p)

• SLAM Algorithm: ppt28, 2013

• SLAM Tutorial: ppt

7. Implementation (Project)

• SFM-Visual-SLAM

8. Research Group / Conference

• OpenSlam

Simultaneous localization and mapping

SLAM community:

• openSLAM
• Kitti Odometry: benchmark for outdoor visual odometry (codes may be available)

Tracking/Odometry:

• LIBVISO2: C++ Library for Visual Odometry 2
• PTAM: Parallel tracking and mapping
• KFusion: Implementation of KinectFusion
• InfiniTAM: Implementation of multi-platform large-scale depth tracking and fusion
• VoxelHashing: Large-scale KinectFusion
• SLAMBench: Multiple-implementation of KinectFusion
• SVO: Semi-direct visual odometry
• DVO: dense visual odometry
• FOVIS: RGB-D visual odometry

Graph Optimization:

• GTSAM: General smoothing and mapping library for Robotics and SFM -- Georgia Institute of Technology
• G2O: General framework for graph optomization

Loop Closure:

• FabMap: appearance-based loop closure system - also available in OpenCV2.4.11
• DBoW2: binary bag-of-words loop detection system

Localization & Mapping:

• RatSLAM
• LSD-SLAM
• ORB-SLAM