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Title:

Verification image dataset under hazardous conditions, including clean, fog, raindrops on lens, and dirt on lens

Document type:
Forschungsdaten
Publication date:
17.04.2025
Responsible:
Lee, Changjoo
Authors:
Lee, Changjoo; Schätzle, Simon; Lang, Andreas Stefan; Maier, Michael; Oksanen, Timo
Author affiliation:
1) Technical University of Munich (Agrimechatronics): Lee, Changjoo; Maier, Michael; Oksanen, Timo;
2) Sensor-Technik Wiedemann GmbH: Schätzle, Simon; Lang, Andreas Stefan
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1760061
End date of data production:
16.07.2024
Subject area:
ARC Architektur; DAT Datenverarbeitung, Informatik; VER Technik der Verkehrsmittel
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Bilder / images
Description:
This dataset was recorded as a means for verifying the performance of perception systems under hazardous scenarios. Four types of images are collected on a tractor; clear, dirty raindrops on lens, and foggy images. Each scene is time-synchronized and consists of 1920 x 1080 pixel colour images captured at approximatedy 1 frame per second.
Method of data assessment:
A 3D-printed bi-partite chamber is sandwiched between two acrylic clear panels and placed in front of the two lenses of a stereo camera (Stereolabs, ZED mini). The left chamber is filled with water droplets dispersed by an internal raindrop nozzle, while the right chamber contains fog produced by an ultrasonic humidifier. A second stereo camera (Stereolabs, ZED 2i) is mounted on top of the chamber, one of its lenses obscured by dirt, while the other lens is clear. A water pump (Decdeal, submersi...     »
Key words:
Fog; raindrops on lens; dirt on lens; hazardous scenario
Technical remarks:
View and download (2.9 GB total, 1420 Files)
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The data server also offers downloads with rsync (password m1760061):
rsync rsync://m1760061@dataserv.ub.tum.de/m1760061/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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