All sequences are obtained within the outdoor sites on the campus.Β
Since each sequence takes two laps around the same path, we also hope to contribute to the study of place recognition or SLAM.
Calibration parameter
TXT format including [R|t] between each link
Provided for each agent setup
Groundtruth MapΒ
PCD format (Intensity / Colored pointcloud)
LiDAR Groundtruth (6DoF)
CSV format [time, x, y, z, qx, qy, qz, qw]
π¦ DiTer_plusplus
βββπ Calibration
β Β βββπ§Ύ agent_a.txt
β Β βββπ§Ύ agent_b.txt
βββπ GT
Β Β Β βββπ Global map
Β Β Β β βββπ§Ύ Global_map_dense.pcd
Β Β Β β βββπ§Ύ Global_map_sparse.pcd
Β Β Β βββπ Park
Β Β Β β βββπ§Ύ Park_GT.pcd
Β Β Β β βββπ Park_in_day_gt.tum
Β Β Β β βββπ Park_out_day_pose.tum
Β Β Β β βββπ Park_in_night_pose.tum
Β Β Β β βββπ Park_out_night_pose.tum
Β Β Β βββπ Lawn
Β Β Β β βββπ§Ύ Lawn_GT.pcd
Β Β Β β βββπ Lawn_upper_day_gt.tum
Β Β Β β βββπ Lawn_lower_day_gt.tum
Β Β Β β βββπ Lawn_upper_night_gt.tum
Β Β Β β βββπ Lawn_lower_night_gt.tum
Β Β Β βββπ Forest
Β Β Β βββπ§Ύ Forest_GT.pcd
Β Β Β βββπ Forest_old_pose.tum
Β Β Β βββπ Forest_new_pose.tum
π¦ DiTer_plusplus
βββπ Bag
Β Β Β Β βββπ Park
Β Β Β Β β βββπ₯ Park_in_day.bag
Β Β Β Β β βββπ₯ Park_out_day.bag
Β Β Β Β β βββπ₯ Park_in_night.bag
Β Β Β Β β βββπ₯ Park_out_night.bag
Β Β Β Β βββπ Lawn
Β Β Β Β β βββπ₯ Lawn_upper_day.bag
Β Β Β Β β βββπ₯ Lawn_lower_day.bag
Β Β Β Β β βββπ₯ Lawn_upper_night.bag
Β Β Β Β β βββπ₯ Lawn_lower_night.bag
Β Β Β Β βββπ Forest
Β Β Β Β βββπ₯ Forest_old.bag
Β Β Β βββπ₯ Forest_new.bag
PARK-DAY
PARK-NIGHT
LAWN-DAYΒ
LAWN-NIGHTΒ
FOREST (Multi-session : 1-year)