ONERA.ROOM

ONERA.ROOM

Citation Author(s):
Joris
Guerry
Le Saux
Bertrand
ONERA
Submitted by:
Bertrand Le Saux
Last updated:
Thu, 10/24/2019 - 08:32
DOI:
10.21227/vn1v-yd15
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We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)

It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.

Different sets are made available (Easy, Average, Hard, Search’n’Rescue, dark conditions, sunlight interference, etc…) to allow the community to test their RGBD algorithms on these challenging data. Indeed, transitions from indoor to outdoor exist in the dataset, which requires to use both modalities to detect people.

If you use ONERA.ROOM, please consider citing:

@inproceedings{guerry2017lato,   title={{"Look At This One" Detection sharing between modality-independent classifiers for robotic people discovery}},   author={Guerry, Joris and {Le Saux}, Bertrand and Filliat, David},   booktitle={Proc. Eur. Conf. on Mobile Robotics (ECMR)},   year={2017} }

 

ONERA.ROOM of Joris GUERRY and Bertrand LE SAUX is available under BY-NC-SA 4.0 license.

 

 

 

Instructions: 

To facilitate use of some deep learning softwares, a folder tree with relative symbolic link (thus avoiding extra space) will gather all the sequences in three folders : | |— image |        | — sequenceName0_imageNumber_timestamp0.jpg |        | — sequenceName0_imageNumber_timestamp1.jpg |        | — sequenceName0_imageNumber_timestamp2.jpg |        | — sequenceName0_imageNumber_timestamp3.jpg |        | — … | |— depth_8bits |        | — sequenceName0_imageNumber_timestamp0.png |        | — sequenceName0_imageNumber_timestamp1.png |        | — sequenceName0_imageNumber_timestamp2.png |        | — sequenceName0_imageNumber_timestamp3.png |        | — … | |— annotations |        | — sequenceName0_imageNumber_timestamp0.xml |        | — sequenceName0_imageNumber_timestamp1.xml |        | — sequenceName0_imageNumber_timestamp2.xml |        | — sequenceName0_imageNumber_timestamp3.xml |        | — … |

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[1] Joris Guerry, Le Saux Bertrand, "ONERA.ROOM", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/vn1v-yd15. Accessed: Mar. 31, 2020.
@data{vn1v-yd15-19,
doi = {10.21227/vn1v-yd15},
url = {http://dx.doi.org/10.21227/vn1v-yd15},
author = {Joris Guerry; Le Saux Bertrand },
publisher = {IEEE Dataport},
title = {ONERA.ROOM},
year = {2019} }
TY - DATA
T1 - ONERA.ROOM
AU - Joris Guerry; Le Saux Bertrand
PY - 2019
PB - IEEE Dataport
UR - 10.21227/vn1v-yd15
ER -
Joris Guerry, Le Saux Bertrand. (2019). ONERA.ROOM. IEEE Dataport. http://dx.doi.org/10.21227/vn1v-yd15
Joris Guerry, Le Saux Bertrand, 2019. ONERA.ROOM. Available at: http://dx.doi.org/10.21227/vn1v-yd15.
Joris Guerry, Le Saux Bertrand. (2019). "ONERA.ROOM." Web.
1. Joris Guerry, Le Saux Bertrand. ONERA.ROOM [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/vn1v-yd15
Joris Guerry, Le Saux Bertrand. "ONERA.ROOM." doi: 10.21227/vn1v-yd15