Difference between revisions of "Datasets"
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Currently the following datasets are available: | Currently the following datasets are available: | ||
| − | === [http://robotica.unileon.es/index.php/ | + | === [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] === |
| + | |||
| + | 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. | ||
| − | + | === 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. | ||
| − | === [http://robotica.unileon.es/index.php/ | + | === [http://robotica.unileon.es/index.php/Benchmark_dataset_for_evaluation_of_range-based_people_tracker_classifiers_in_mobile_robots Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots] === |
| − | This dataset can be used to | + | 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. |
Revision as of 09:47, 11 October 2017
Contents
- 1 Available datasets
- 1.1 Benchmark dataset for analysis of cyber-attacks to an indoor real time localization system for autonomous robots
- 1.2 Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots
- 1.3 Benchmark dataset for evaluation of range-based people tracker classifiers in mobile robots
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.
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.
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.
