This article considers the establishment of a dynamic visual sensor from monocular cameras to enable a reconfigurable environmental perception. The cameras are mounted on Micro Aerial Vehicles (MAV) which are coordinated by a Model Predictive Control (MPC) scheme to retain overlapping field of views and form a global sensor with varying baseline. The specific merits of the proposed scheme are: a) the ability to form a configurable stereo rig, according to the application needs, and b) the simple design, the reduction of the payload and the corresponding cost. Moreover, the proposed configurable sensor provides a glpobal 3D reconstruction of the surrounding area, based on a modified Structure from Motion approach. The efficiency of the sugge...
Abstract—Reliably perceiving obstacles and avoiding colli-sions is key for the fully autonomous appl...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...
The aim of this Licentiate is to advance the field of cooperative visual coverage path planners for ...
Micro Aerial Vehicles and especially multi rotors are gaining more and more attention for accomplish...
International audienceThis work introduces a Nonlinear Model Predictive Control (N-MPC) for camera-e...
This thesis is concerned with the motion estimation and control of Micro Aerial Vehicles (MAVs) usin...
Abstract — In this paper, we present our latest achievements towards the goal of autonomous flights ...
Aerial and space autonomous systems are safety-critical systems that need to operate safely and reli...
Abstract — Cameras provide a rich source of information while being passive, cheap and lightweight f...
This chapter discusses recent advances in the use of computer vision for the control of micro aerial...
The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great interest in t...
The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great interest in t...
Autonomous motion capture (mocap) systems for outdoor scenarios involving flying or mobile cameras r...
International audienceThis paper introduces a cooperative control framework based on Nonlinear Model...
Abstract—Reliably perceiving obstacles and avoiding colli-sions is key for the fully autonomous appl...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...
The aim of this Licentiate is to advance the field of cooperative visual coverage path planners for ...
Micro Aerial Vehicles and especially multi rotors are gaining more and more attention for accomplish...
International audienceThis work introduces a Nonlinear Model Predictive Control (N-MPC) for camera-e...
This thesis is concerned with the motion estimation and control of Micro Aerial Vehicles (MAVs) usin...
Abstract — In this paper, we present our latest achievements towards the goal of autonomous flights ...
Aerial and space autonomous systems are safety-critical systems that need to operate safely and reli...
Abstract — Cameras provide a rich source of information while being passive, cheap and lightweight f...
This chapter discusses recent advances in the use of computer vision for the control of micro aerial...
The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great interest in t...
The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great interest in t...
Autonomous motion capture (mocap) systems for outdoor scenarios involving flying or mobile cameras r...
International audienceThis paper introduces a cooperative control framework based on Nonlinear Model...
Abstract—Reliably perceiving obstacles and avoiding colli-sions is key for the fully autonomous appl...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...
This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect a...