Dataset for "Parameter Reduction and Optimisation for Point Cloud and Occupancy Mapping Algorithms"

In the applications of occupancy mapping, the scene to be explored is normally large and objects are of irregular shapes. In this case, it is difficult to evaluate the performance of a mapping approach since the ground truth can hardly be obtained. This dataset aims to provide small measured scenes with ground truths for evaluation purposes. Videos are recorded in .svo files. These files can be opened with the tools provided in ZED SDK which can be downloaded at Stereo Labs website (https://www.stereolabs.com). Images in the videos can be extracted using the API in ZED SDK and the camera parameters can also be accessed by ZED API. Ground truth files are in .ot format. These files can be viewed by octovis package. To install octovis, run 'sudo apt-get install octovis' in Ubuntu. Camera trajectories produced by ORB-SLAM and keyframe poses produced by ORB-SLAM are in .txt files. Most text editors can open files of this type

Dataset for "Parameter Reduction and Optimisation for Point Cloud and Occupancy Mapping Algorithms"

In the applications of occupancy mapping, the scene to be explored is normally large and objects are of irregular shapes. In this case, it is difficult to evaluate the performance of a mapping approach since the ground truth can hardly be obtained. This dataset aims to provide small measured scenes with ground truths for evaluation purposes. Videos are recorded in .svo files. These files can be opened with the tools provided in ZED SDK which can be downloaded at Stereo Labs website (https://www.stereolabs.com). Images in the videos can be extracted using the API in ZED SDK and the camera parameters can also be accessed by ZED API. Ground truth files are in .ot format. These files can be viewed by octovis package. To install octovis, run 'sudo apt-get install octovis' in Ubuntu. Camera trajectories produced by ORB-SLAM and keyframe poses produced by ORB-SLAM are in .txt files. Most text editors can open files of this type

Dataset for "Breaking Wave Imaging using Lidar and Sonar"

This dataset comprises the primary data used in the paper "Breaking Wave Imaging using Lidar and Sonar". The data consists of water surface elevation data throughout the surf and swash zone of a prototype-scale laboratory beach collected at the GWK Large Wave Flume, Hanover using a Lidar array and concurrent acoustic intensity data obtained using a bed-mounted multibeam. The goal of the work was to image the bubble plumes from breaking waves from above and below. The dataset is composed of one .mat file, which was generated with the MATLAB software. The content of each file is described in the readme file and is included in the structure data as well

Dataset for "Breaking Wave Imaging using Lidar and Sonar"

This dataset comprises the primary data used in the paper "Breaking Wave Imaging using Lidar and Sonar". The data consists of water surface elevation data throughout the surf and swash zone of a prototype-scale laboratory beach collected at the GWK Large Wave Flume, Hanover using a Lidar array and concurrent acoustic intensity data obtained using a bed-mounted multibeam. The goal of the work was to image the bubble plumes from breaking waves from above and below. The dataset is composed of one .mat file, which was generated with the MATLAB software. The content of each file is described in the readme file and is included in the structure data as well

Dataset for BathRC Ventilation model

This dataset contains: (a) Experimentally measured pressure-flow data from testing of ventilator circuits with a variety of configurations and circuit components. These data are useful in characterising circuit components and validating ventilation circuit models, in particular the BathRC model. (b) A spreadsheet implementing the BathRC model to compute inspiration restrictor requirements for ventilating two patients from a single ventilator

Dataset for BathRC Ventilation model

This dataset contains: (a) Experimentally measured pressure-flow data from testing of ventilator circuits with a variety of configurations and circuit components. These data are useful in characterising circuit components and validating ventilation circuit models, in particular the BathRC model. (b) A spreadsheet implementing the BathRC model to compute inspiration restrictor requirements for ventilating two patients from a single ventilator