Difference between revisions of "Datasets"

From robotica.unileon.es
Jump to: navigation, search
Line 7: Line 7:
 
Currently the following datasets are available:
 
Currently the following datasets are available:
  
=== [http://robotica.unileon.es/index.php/Benchmark_dataset_for_analysis_of_cyber-attacks_to_an_indoor_real_time_localization_system_for_autonomous_robots Benchmark dataset for analysis of cyber-attacks to an indoor real time localization system for autonomous robots] ===
+
=== Benchmark dataset for analysis of cyber-attacks to an indoor real time localization system for autonomous robots ===
  
 
This dataset can be used to analyze cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Karen, with an on-board Real Time Location System (RTLS) was used to gather the data.
 
This dataset can be used to analyze cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Karen, with an on-board Real Time Location System (RTLS) was used to gather the data.
  
=== [http://robotica.unileon.es/index.php/Benchmark_dataset_for_training/testing_of_Machine_Learning_Models_to_detect_cyber-attacks_to_an_indoor_real_time_localization_system_for_autonomous_robots Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots] ===
+
[http://robotica.unileon.es/index.php/Benchmark_dataset_for_analysis_of_cyber-attacks_to_an_indoor_real_time_localization_system_for_autonomous_robots Go to dataset]
 +
 
 +
=== Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots ===
  
 
This dataset can be used to train and test Machine Learning Models to detect cyber-attacks  to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Orbi-One, with an on-board Real Time Location System (RTLS) was used to gather the data.
 
This dataset can be used to train and test Machine Learning Models to detect cyber-attacks  to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Orbi-One, with an on-board Real Time Location System (RTLS) was used to gather the data.
 +
 +
[http://robotica.unileon.es/index.php/Benchmark_dataset_for_training/testing_of_Machine_Learning_Models_to_detect_cyber-attacks_to_an_indoor_real_time_localization_system_for_autonomous_robots  Go to dataset]
  
 
=== (RRID:SCR_015743) Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots ===
 
=== (RRID:SCR_015743) Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots ===
Line 19: Line 23:
 
This dataset can be used to evaluate the performance of different approaches for detecting and tracking people by using lidar sensors. Information contained at the dataset is specially suitable to be used as training data for neural network-based classifiers.
 
This dataset can be used to evaluate the performance of different approaches for detecting and tracking people by using lidar sensors. Information contained at the dataset is specially suitable to be used as training data for neural network-based classifiers.
  
[http://robotica.unileon.es/index.php/Benchmark_dataset_for_evaluation_of_range-based_people_tracker_classifiers_in_mobile_robots Go to dataset]
+
[http://robotica.unileon.es/index.php/Benchmark_dataset_for_evaluation_of_range-based_people_tracker_classifiers_in_mobile_robots Go to dataset]

Revision as of 15:02, 11 October 2017

This site summarizes different datasets gathered by the Robotics Group during their researches.


Available datasets

Currently the following datasets are available:

Benchmark dataset for analysis of cyber-attacks to an indoor real time localization system for autonomous robots

This dataset can be used to analyze cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Karen, with an on-board Real Time Location System (RTLS) was used to gather the data.

Go to dataset

Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots

This dataset can be used to train and test Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartmentlocated at the Robotics Lab of the University of León (Spain). An autonomous robot, called Orbi-One, with an on-board Real Time Location System (RTLS) was used to gather the data.

Go to dataset

(RRID:SCR_015743) Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots

This dataset can be used to evaluate the performance of different approaches for detecting and tracking people by using lidar sensors. Information contained at the dataset is specially suitable to be used as training data for neural network-based classifiers.

Go to dataset