In this letter, we propose an end-to-end deep architecture that jointly learns to detect
obstacles and estimate their depth for MAV flight applications. Most of the existing …

Most of the existing Unmanned Aerial Vehicles (UAVs) in different scales, use
microcontrollers as their processing engine. In this paper, we provide a wide study on how …

With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the
importance of embedded high-performance image processing has increased. For a long …

Semi-Global Matching (SGM) is a widely-used efficient stereo matching technique. It works
well for textured scenes, but fails on untextured slanted surfaces due to its fronto-parallel …

In order to improve usability and safety, modern unmanned aerial vehicles (UAVs) are
equipped with sensors to monitor the environment, such as laser-scanners and cameras …

Cloud of Things (CoT) is a vision inspired by Internet of Things (IoT) and cloud computing
where the IoT devices are connected to the clouds via the Internet for data storage …

With FaSS-MVS, we present a fast, surface-aware semi-global optimization approach for
multi-view stereo that allows for rapid depth and normal map estimation from monocular …

Indoor localization based on ultrasound signals has been carried out by several research
groups. Most of the techniques rely on a single ultrasound pulse ranging, where the Time of …

As the need for developing stable and reprogrammable Unmanned Aerial Systems has
increased between researchers and engineers due to increasing interest in many …

Online augmentation of an oblique aerial image sequence with structural information is an
essential aspect in the process of 3D scene interpretation and analysis. One key aspect in …