Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset

Citation Author(s):
Valentín
Barral
UDC
Pedro
Suarez-Casal
UDC
Carlos J.
Escudero
UDC
José A.
García-Naya
Submitted by:
Valentin Barral
Last updated:
Sun, 02/02/2020 - 16:37
DOI:
10.21227/b9tf-fv74
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This dataset includes the measurements of a simulated vehicle inside a Gazebo simulation using different sensors: a simulated UWB tag, a IMU and a PX4Flow. 

Instructions: 

Please, if you use the datase, put a reference to our article: 

 

Barral, V., Suárez-Casal, P., Escudero, C. J., & García-Naya, J. A. (2019). Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments. Electronics8(10), 1152. https://doi.org/10.3390/electronics8101152

 

The dataset includes several .mat files for each scenario. Each file contains a ROS set of topics. To read each topic is needed the Matlab Robotics System Toolbox. An example script is added.

 

AllMeasurementsScenarioXX.mat contains the sensor data and position estimates on scenario XX.

The available topics are:

- /gtec/gazebo/pos  : Ground truth positions

- /gtec/kfpos_uwb : location estimates, only UWB

- /gtec/kfpos_uwb_imu : location estimates, UWB + IMU

- /gtec/kfpos_uwb_imu_px4: location estimates, UWB + IMU + PX4 FLOW

- /gtec/gazebo/imu : IMU data

- /gtec/gazebo/uwb/ranging/0: UWB ranging data

- /gtec/gazebo/px4flow: PX4Flow

 

AnchorsScenarioXX.mat contains the positions of the UWB anchors in scenario XX.

The available topics are:

 

/gtec/gazebo/uwb/anchors/0 : The positions of each anchor.

 

ScenarioXXWalls.mat includes the position of the walls in the scenario XX.

The available topics are:

 

/tf : The positions of each model in the scenario.

 

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[1] Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya, "Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/b9tf-fv74. Accessed: Apr. 04, 2020.
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doi = {10.21227/b9tf-fv74},
url = {http://dx.doi.org/10.21227/b9tf-fv74},
author = {Valentín Barral; Pedro Suarez-Casal; Carlos J. Escudero; José A. García-Naya },
publisher = {IEEE Dataport},
title = {Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset},
year = {2019} }
TY - DATA
T1 - Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset
AU - Valentín Barral; Pedro Suarez-Casal; Carlos J. Escudero; José A. García-Naya
PY - 2019
PB - IEEE Dataport
UR - 10.21227/b9tf-fv74
ER -
Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya. (2019). Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset. IEEE Dataport. http://dx.doi.org/10.21227/b9tf-fv74
Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya, 2019. Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset. Available at: http://dx.doi.org/10.21227/b9tf-fv74.
Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya. (2019). "Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset." Web.
1. Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya. Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/b9tf-fv74
Valentín Barral, Pedro Suarez-Casal, Carlos J. Escudero, José A. García-Naya. "Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset." doi: 10.21227/b9tf-fv74