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.
The Málaga Stereo and Laser Urban Data Set:
Radish Repository:
Robotics Datasets (University of Freiburg):
Oakland 3D Point Cloud Dataset:
Kevin Lai’s Urban Scenes 3D Point Cloud Dataset:
Rawseeds project:
Robotic 3D Scan Repository:
University of Toronto:
TU München:
Ford Campus Vision and Lidar Dataset:
Oxford Mobile Robotics Group:
MIT - DARPA Urban Challenge
University of Lincoln, UK - Long-term mapping:
CyPhy Lab - Fixed-wing monocular mapping:
KITTI Vision Benchmark Suite:
Stanford 3D Scanning Repository:
University of Western Australia - Object modeling:
Georgia Institute of Technology - Large Geometric Models:
libpointmatcher:
Point Cloud Library:
Paraview: