An Adaptive Model For Runway Detection and Localization in Unmanned Aerial Vehicle

Author(s): Barakkath Nisha U, Razila A R, Landrea Bayer, Devika K P, Aparna K R

Abstract: Unmanned aerial vehicles is gaining more popularity in recent years due to its ability in performing dangerous task that cannot be done using manned aerial vehicles. Apart from military purpose they are also effectively used in urban planning too. Lots of data that are stored in hardware of uav is destroyed during accidents in landing time. It’s all because we don’t have an efficient system for the detecting the landing sites. Here in our work we provide an excellent mechanism using CNN models to detect the runway and to provide its exact location. Apart from that we are also providing methods to detect the runway even in bad weather condition, also augmentation is done on the dataset to increase the accuracy of the model.