Camera images from embedded Camera on a drone flying in front of walls and nettings in simulation and experimental data

This data set contains .png images taken from a drone when flying in an arena with nets on one side and plane walls on the others. The data were acquired during several flights made on different days, in a real arena or in simulations (https://gazebosim.org/home). Several parameters change across the data-sets, from orientation of the camera, type of texture used to the field-of-view of the camera. The data are used in a journal paper in order to show a way to detect the presence of a netting via the use of the optic flow (motion parallax) taken on several layers. The software used for data acquisition onboard the drone was python 2.7, while the system VICON tracker VRPN 3.1.1 was used for position recording (https://www.vicon.com/support/faqs/how-does-tracker-work-with-vrpn/). The camera used was a global shutter camera ELP USBGS720P02-L36 with a 3.6 mm objective. More details about the setup and experimental conditions can be founded in "codes/readme". Basic codes are given in the "codes" folder in order to extract and link the data between images and csv file, taking into account the experimental bias in the data acquisition. This project wasn't financed by a specific research project but was done during my PhD thesis.