====== Related Links ======

There are many scientists around the world collecting data to increase quality and reusability of scientific works. Here a list that we hope seeing growing over the time. 
===== Datasets =====

==== Sceneries/Environments ====

The Málaga Stereo and Laser Urban Data Set:
  * http://www.mrpt.org/MalagaUrbanDataset
  * Stereo camera, IMU, GPS, 2xSICK LMS, 3xHOKUYO
  * J.L. Blanco-Claraco, F.A. Moreno-Dueñas, J. Gonzalez-Jimenez. “The Málaga Urban Dataset: High-rate Stereo and Lidars in a realistic urban scenario“, The International Journal of Robotics Research (IJRR), DOI: 10.1177/0278364913507326 


Radish Repository: 
  * http://cres.usc.edu/radishrepository/view-all.php
  * 2D mapping

Robotics Datasets (University of Freiburg): 
  * http://www.informatik.uni-freiburg.de/~stachnis/datasets.html
  * 2D mapping

Oakland 3D Point Cloud Dataset: 
  * http://www.cs.cmu.edu/~vmr/datasets/oakland_3d/cvpr09/doc/

Kevin Lai’s Urban Scenes 3D Point Cloud Dataset: 
  * http://www.cs.washington.edu/homes/kevinlai/datasets.html

Rawseeds project: 
  * http://www.rawseeds.org

Robotic 3D Scan Repository: 
  * http://kos.informatik.uni-osnabrueck.de/3Dscans/

University of Toronto: 
  * http://asrl.utias.utoronto.ca/datasets/

TU München: 
  * http://cvpr.in.tum.de/data/datasets

Ford Campus Vision and Lidar Dataset:
  * http://robots.engin.umich.edu/SoftwareData/Ford
  * Applanix POS-LV, Xsens MTi-G, Riegl lidar (x2), Point grey Ladybug3
  * Car navigation, urban environment, moving vehicles, downtown, parking lots

Oxford Mobile Robotics Group:
  * http://www.robots.ox.ac.uk/~mobile/IJRR_2008_Dataset/data.html
  * http://www.robots.ox.ac.uk/NewCollegeData/
  * Odometry, laser, stereo camera, omnidirectional camera, GPS

MIT - DARPA Urban Challenge
  * http://grandchallenge.mit.edu/wiki/index.php?title=PublicData
  * 5 cameras, 12 sick, Velodyne, Applanix POS-LV220

University of Lincoln, UK - Long-term mapping:
  * http://robotics.researchdata.lncn.eu/
  * Indoor, omni-directional, laser
  * Up to 7 weeks of continuous recording
  * Collaboration with Örebro University, Sweden

CyPhy Lab - Fixed-wing monocular mapping:
  * https://wiki.qut.edu.au/display/cyphy/Kagaru+Airborne+Dataset
  * Stereo camera, Xsens (IMU + GPS)

KITTI Vision Benchmark Suite:
  * http://www.cvlibs.net/datasets/kitti
  * Outdoor, urban environments, car
  * GPS/IMU, Velodyne, Cameras
  * Benchmarking of stereo, optical flow, odometry, object recognition and tracking
==== Objects ====

Stanford 3D Scanning Repository: 
  * http://graphics.stanford.edu/data/3Dscanrep/

University of Western Australia - Object modeling:
  * Minolta Vivid 910 scanner, with a resolution of 640x480
  * http://www.csse.uwa.edu.au/~ajmal/3Dmodeling.html

Georgia Institute of Technology - Large Geometric Models:
  * Mixed sources
  * http://www.cc.gatech.edu/projects/large_models/
===== Tools and Softwares  =====

libpointmatcher: 
  * https://github.com/ethz-asl/libpointmatcher
  * Point cloud registration

Point Cloud Library: 
  * http://pointclouds.org/
  * Point cloud manipulation

Paraview:
  * http://www.paraview.org/
  * Open-source, multi-platform data analysis and visualization application