SLAM 数据集

• 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: Dataset collected using the Navlab 11 equipped with IMU, GPS, Lidars and cameras.
• NYU RGB-D Dataset: Indoor dataset captured with a Microsoft Kinect that provides semantic labels.
• TUM RGB-D Dataset: Indoor dataset captured with Microsoft Kinect and high-accuracy motion capturing.
• New College Dataset: 30 GB of data for 6 D.O.F. navigation and mapping (metric or topological) using vision and/or laser.
• The Rawseeds Project: 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: Widely used sequence for evaluating laser-based SLAM. Trees serve as landmarks, detection code is included.
• Malaga Dataset 2009 and Malaga Dataset 2013: Dataset with GPS, Cameras and 3D laser information, recorded in the city of Malaga, Spain.
• Ford Campus Vision and Lidar Dataset: Dataset collected by a Ford F-250 pickup, equipped with IMU, Velodyne and Ladybug.