We are excited to announce DSEC, our new stereo Event Camera large-scale
dataset for challenging driving scenarios! DSEC features over 400GB of
data including stereo VGA Prophesee event cameras, stereo RGB cameras,
Velodyne lidar, and RTK-GPS, recorded in challenging high-dynamic-range,
day and night, sunrise and sunset, urban and Swiss-mountain driving
scenarios! Additionally, it provides ground-truth disparity for the
development and evaluation of event-based stereo and depth estimation
algorithms. Check it out and participate in our upcoming CVPR2021
competition: http://rpg.ifi.uzh.ch/dsec.html
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dataset for challenging driving scenarios! DSEC features over 400GB of
data including stereo VGA Prophesee event cameras, stereo RGB cameras,
Velodyne lidar, and RTK-GPS, recorded in challenging high-dynamic-range,
day and night, sunrise and sunset, urban and Swiss-mountain driving
scenarios! Additionally, it provides ground-truth disparity for the
development and evaluation of event-based stereo and depth estimation
algorithms. Check it out and participate in our upcoming CVPR2021
competition: http://rpg.ifi.uzh.ch/dsec.html
More info in our paper:
“DSEC: A Stereo Event Camera Dataset for Driving Scenarios”:
http://rpg.ifi.uzh.ch/docs/RAL21_DSEC.pdf
Mathias Gehrig, Jan-Willem Aarents, Daniel Gehrig, Davide Scaramuzza