folder 3_1_2_2 (32 files)
filecalibrations/clone.sh 0.16kB
filecamera_ir/timestamps.txt 2.21MB
filecamera_ir/video.mp4 8.05GB
filecamera_left_front/timestamps.txt 791.08kB
filecamera_left_front/video.mp4 22.97GB
filecamera_left_side/timestamps.txt 791.08kB
filecamera_left_side/video.mp4 27.53GB
filecamera_right_front/timestamps.txt 791.08kB
filecamera_right_front/video.mp4 22.71GB
filecamera_right_side/timestamps.txt 791.08kB
filecamera_right_side/video.mp4 30.63GB
filegnss/pose.txt 2.41MB
filegnss/time.txt 2.15MB
fileimu/d_quat.txt 49.00MB
fileimu/gnss.txt 4.76MB
fileimu/imu.txt 100.11MB
fileimu/mag.txt 9.82MB
fileimu/pressure.txt 2.68MB
fileimu/temp.txt 21.48MB
fileimu/time.txt 43.38MB
filelidar_center/scans.zip 3.46GB
filelidar_center/timestamps.txt 503.94kB
filelidar_left/scans.zip 11.64GB
filelidar_left/timestamps.txt 813.29kB
filelidar_right/scans.zip 12.31GB
filelidar_right/timestamps.txt 890.67kB
fileradar_ti/scans.txt 8.64MB
fileyolo/camera_ir.txt 4.36MB
fileyolo/camera_left_front.txt 2.41MB
fileyolo/camera_left_side.txt 1.07MB
fileyolo/camera_right_front.txt 2.33MB
fileyolo/camera_right_side.txt 1.20MB
Type: Dataset

Metadata:
@article{,
title= {3_1_2_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superseded= {}
}

Citation:
Adam Ligocki, A. J. L. Z.. (2022). 3_1_2_2 [Data set]. Academic Torrents. https://academictorrents.com/details/8f7aa85aaae7a2b90af97e31b189fff2de16acd6
Related Torrents

Send Feedback Start
   0.000007
DB Connect
   0.000497
Lookup hash in DB
   0.000412
Get torrent details
   0.000131
Get torrent details, finished
   0.000219
Get authors
   0.000016
Parse bibtex
   0.000141
Write header
   0.000231
get stars
   0.000262
home tab
   0.000385
render right panel
   0.000005
render ads
   0.000438
fetch current hosters
   0.000237
related datasets
   0.004303
Done