The kth/rss dataset (v. 2016-01-05)
Radio Signal Strength data from a mobile robot along with odometer in indoor and outdoor environments
Contributed by Ramviyas Parasuraman, Sergio Caccamo, Fredrik Baberg, Petter Ogren.
This dataset contains the RSS (Radio Signal Strength) data collected with a mobile robot in two environments: indoor (KTH) and outdoor (Dortmund). RSSI metric was used to collect the RSS data in terms of dBm. The mobile robot location was recorded using its odometry (dead reckoning).
details of the kth/rss dataset (v. 2016-01-05)
- last modified
-
2016-01-05
- nickname
-
rss
- institution
-
KTH - Royal Institute of Technology
- reason for most recent change
-
the initial version
- release date
-
2016-01-05
- website
-
www.crawdad.org/kth/rss
- network type
-
sensor network
- network type
-
802.11 ad-hoc
- network type
-
802.11 infrastructure
- collection environment
-
The indoor data was collected at the 5th floor of one of KTH's office building (Teknikringen 14, 10044 Stockholm) during working hours. The outdoor data was collected at an abandoned steel factory in Dortmund (Phoenix-West), Germany during an Evaluation exercise of TRADR project http://www.tradr-project.eu/.
- network configuration
-
IEEE 802.11n Wi-Fi 2.4GHz network was used in the dataset.
- data collection methodology
-
The RSS was collected using the RSSI metric in dBm. The mobile robot data such as position and orientation was collected with the help of Robot Operating System (ROS) drivers of the respective robot.
This dataset contains the following 2 tracesets:
indoor
RSS data in indoor environment
quick access to download the traceset
- download the indoor1.txt.gz (from the kth/rss/indoor/indoor1 trace) file
- from a CRAWDAD mirror: US
UK
size="56KB" type="txt.gz" md5="d5595d5306f047b4a58f8ea76896c6f0"
outdoor
Outdoor RSS dataset
quick access to download the traceset
- download the outdoor1.txt.gz (from the kth/rss/outdoor/outdoor1 trace) file
- from a CRAWDAD mirror: US
UK
size="176KB" type="txt.gz" md5="334bc67918851b505f6918262176ff36"
4 contributors 
- Ramviyas Parasuraman
ramviyas@kth.se
Computer Vision and Active Perception Lab., Centre for Autonomous Systems, School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
- Sergio Caccamo
caccamo@kth.se
Computer Vision and Active Perception Lab., Centre for Autonomous Systems, School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
- Fredrik Baberg
fbaberg@kth.se
Computer Vision and Active Perception Lab., Centre for Autonomous Systems, School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
- Petter Ogren
petter@kth.se
Computer Vision and Active Perception Lab., Centre for Autonomous Systems, School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
Ramviyas Parasuraman, Sergio Caccamo, Fredrik Baberg, Petter Ogren, CRAWDAD dataset kth/rss (v. 2016‑01‑05), downloaded from https://crawdad.org/kth/rss/20160105, https://doi.org/10.15783/C7088F, Jan 2016.
We also provide bibliographic information in common citation formats below:
@misc{kth-rss-20160105,
author = {Ramviyas Parasuraman and Sergio Caccamo and Fredrik Baberg and Petter Ogren},
title = {{CRAWDAD} dataset kth/rss (v. 2016-01-05)},
howpublished = {Downloaded from \url{https://crawdad.org/kth/rss/20160105}},
doi = {10.15783/C7088F},
month = jan,
year = 2016
}
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TY - DATA
TI - CRAWDAD dataset kth/rss (v. 2016-01-05)
UR - https://crawdad.org/kth/rss/20160105
PY - 2016/01/05/
AU - Ramviyas Parasuraman
AU - Sergio Caccamo
AU - Fredrik Baberg
AU - Petter Ogren
DO - 10.15783/C7088F
ER -
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