SLAM 数据集
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转自:http://blog.csdn.net/chenzhipeng1234/article/details/45850461
SLAM benchmarking.
http://kaspar.informatik.uni-freiburg.de/~slamEvaluation/datasets.php
•KITTI SLAM dataset.
http://www.cvlibs.net/datasets/kitti/eval_odometry.php.
包括 单目视觉 ,双目视觉, velodyne, POS 轨迹
•OpenSLAM .
https://www.openslam.org/links.html
•CMU Visual Localization Data Set:
http://3dvis.ri.cmu.edu/data-sets/localization/
Dataset collected using the Navlab 11 equipped with IMU, GPS, Lidars and cameras.
•NYU RGB-D Dataset:
http://cs.nyu.edu/~silberman/datasets/
Indoor dataset captured with a Microsoft Kinect that provides semantic labels.
•TUM RGB-D Dataset:
http://vision.in.tum.de/data/datasets/rgbd-dataset
Indoor dataset captured with Microsoft Kinect and high-accuracy motion capturing.
•New College Dataset:
http://www.robots.ox.ac.uk/NewCollegeData/
30 GB of data for 6 D.O.F. navigation and mapping (metric or topological) using vision and/or laser.
•The Rawseeds Project:
http://www.rawseeds.org/home/
Indoor and outdoor datasets with GPS, odometry, stereo, omnicam and laser measurements for visual, laser-based, omnidirectional, sonar and multi-sensor SLAM evaluation.
•Victoria Park Sequence:
http://www-personal.acfr.usyd.edu.au/nebot/victoria_park.htm
Widely used sequence for evaluating laser-based SLAM. Trees serve as landmarks, detection code is included.
•Malaga Dataset 2009 and Malaga Dataset 2013:
http://www.mrpt.org/malaga_dataset_2009
Dataset with GPS, Cameras and 3D laser information, recorded in the city of Malaga, Spain.
•Ford Campus Vision and Lidar Dataset:
http://robots.engin.umich.edu/SoftwareData/Ford
Dataset collected by a Ford F-250 pickup, equipped with IMU, Velodyne and Ladybug.
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