This paper presents a novel Convolutional Neural Network (CNN) architecture for 2D human
pose estimation from RGB images that balances between high 2D human pose/skeleton …

Computer Vision (CV) is used in a broad range of Cyber-Physical Systems such as surgical
and factory floor robots and autonomous vehicles including small Unmanned Aerial Systems …

The reliability of autonomous landing of the UAVs in an unknown or unprepared
environment can be improved by the application of image-based sensors. This paper …

This work presents a pipeline for autonomous emergency landing for multicopters, such as
rotary wing Unmanned Aerial Vehicles (UAVs), using deep Reinforcement Learning (RL) …

Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …

Non-maximum suppression (NMS) is a post-processing step in almost every visual object
detector. NMS aims to prune the number of overlapping detected candidate regions-of …

This paper presents an in-depth analysis of state-of-the-art semantic segmentation
algorithms applied to spacecraft safe planetary landing via hazard detection and avoidance …

Landing safety is a challenge heavily engaging the research community recently, due to the
increasing interest in applications availed by aerial vehicles. In this paper, we propose a …

This paper presents a fast approximation method for Multidimensional Scaling (MDS)-based
dimensionality reduction on large cartography datasets. Since MDS preserves data point …

Recent advances in artificial intelligence, control and sensing technologies have facilitated
the development of autonomous Unmanned Aerial Vehicles (UAVs). Detecting humans from …