2_1_9_2 (24 files)
calibrations/clone.sh 0.16kB
camera_ir/timestamps.txt 708.60kB
camera_ir/video.mp4 1.67GB
camera_left_front/timestamps.txt 244.89kB
camera_left_front/video.mp4 11.67GB
camera_left_side/timestamps.txt 244.89kB
camera_left_side/video.mp4 11.03GB
camera_right_front/timestamps.txt 244.89kB
camera_right_front/video.mp4 11.69GB
camera_right_side/timestamps.txt 244.89kB
camera_right_side/video.mp4 11.24GB
gnss/pose.txt 768.53kB
gnss/time.txt 675.98kB
imu/d_quat.txt 15.38MB
imu/gnss.txt 1.49MB
imu/imu.txt 31.79MB
imu/mag.txt 3.12MB
imu/pressure.txt 840.84kB
imu/temp.txt 7.03MB
imu/time.txt 13.63MB
lidar_left/scans.zip 3.66GB
lidar_left/timestamps.txt 279.39kB
lidar_right/scans.zip 3.71GB
lidar_right/timestamps.txt 287.14kB
Type: Dataset
Tags: SLAM, mapping, autonomous driving

Bibtex:
@article{,
title= {2_1_9_2},
journal= {},
author= {Adam Ligocki, Ales Jelinek, Ludek Zalud},
year= {},
url= {https://github.com/RoboticsBUT/Brno-Urban-Dataset},
abstract= {Navigation and localisation dataset for self driving cars and autonomous robots.},
keywords= {autonomous driving, mapping, slam},
terms= {},
license= {},
superseded= {}
}

10 day statistics (2 downloads)

Average Time 5 hrs, 35 mins, 39 secs
Average Speed 2.72MB/s
Best Time 2 hrs, 28 mins, 00 secs
Best Speed 6.16MB/s
Worst Time 8 hrs, 43 mins, 19 secs
Worst Speed 1.74MB/s
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