The paper reports on an investigation made at Fraunhofer IZFP where a rotary wing octocopter micro air vehicle (MAV) system has been used to scan buildings for inspection and monitoring purpose with a high resolution digital camera. The MAV has been equipped with a microcontroller-based flight control system and different sensors for navigation and flight stabilization. Pictures have been taken...

Autonomous hover control of a low-cost Micro Air Vehicle (MAV) is considered in this paper. To avoid the long-term drift during hover, the ‘snapshot’ idea is practiced, where an image of the ground under the MAV is stored as the reference image, and the following images are directly compared with this reference image for estimating horizontal position. For hover control, the measured position i...

Debugging control software for Micro Aerial Vehicles (MAV) can be risky out of the simulator, especially with professional drones that might harm people around or result in a high bill after a crash. We have designed a framework that enables a software application to communicate with multiple MAVs from a single unified interface. In this way, visual controllers can be first tested on a low-cost...

This paper deploys a recently proposed, biologically inspired, on-line, search-based optimization technique called Selective Evolutionary Generation Systems (SEGS) for control purposes; here, to evolve Micro Air Vehicle (MAV) flapping wing gaits in changing flight conditions to maintain hovering flight and track trajectories in unsteady airflow. The SEGS technique has several advantages, includ...

Unmanned miniature air vehicles (MAVs) have recently become a focus of much research, due to their potential utility in a number of information gathering applications. MAVs currently carry inertial sensor packages that allow them to perform basic flight maneuvers reliably in a completely autonomous manner. However, MAV navigation requires knowledge of location that is currently available only t...

Although High-intensity interval training (HIIT) has shown its effectiveness in improving body composition, cardio-respiratory fitness and lipid profile in obese adults, evidences remain limited in overweight/obese youth. This study was conducted to investigate the effect of a 12-week HIIT program without caloric restriction on body composition and lipid profile among young overweight/obese men...

The current morphing technologies are mostly regarded as auxiliary tools, providing additional control torques to enhance the flight maneuverability of unmanned aerial vehicles (UAVs), and they cannot exist independently traditional surfaces. In this paper, we propose a tandem-wing micro vehicle (MAV) with multiple variable-sweep wings, which can reduce inertia forces moments weaken dynamic cou...

This paper addresses issues of co-evolution of form and function for autonomous vehicles, specifically evolving morphology and control for an autonomous micro air vehicle (MAV). The evolution of an optimal minimum sensor suite and reactive strategies for navigation and collision avoidance for the simulated MAV is described. The details of the implementation of the simulated aircraft, the enviro...

The more restrictive airspace regulations force drone manufacturers to take into account the noise emitted by during design phase, along with its aerodynamic performance increase flight time. A Non-Linear Vortex Lattice Method (NVLM), coupled Farassat Formulation-1A of Ffowcs-Williams and Hawkings acoustic analogy is used evaluate aeroacoustic MAV rotors. Pymoo, a Python-based optimization fram...

State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping. There are three main challenges for MAV state estimation: (1) it can deal with aggressive 6 DOF (Degree Of Freedom) motion; (2) it should be robust to intermittent GPS (Global Positioning System) (even GPS-denied) situat...