Abstract: A method for acquiring images of a photographic target from arbitrary perspectives with an unmanned aerial vehicle (UAV) equipped with at least one image acquisition device having a fixed acquisition direction with respect to the vehicle, said UAV having automatic navigation means allowing to reach an arbitrary location and automatic attitude control means allowing to transiently reach an arbitrary orientation in space, said photographic target being outside the current field of view of the acquisition device while the UAV flies along a predefined flying path, this method comprising: computing a target UAV position and an orientation in space required to acquire a desired image from a set of parameters, navigating to said target UAV position, modifying an attitude of the UAV in order to modify the acquisition direction to point toward the photographic target, acquiring images, and starting a recovery phase by controlling the UAV back to cruise attitude and navigate back along the predefined flying path.

Abstract: A VTOL (vertical take-off and landing) aerial flying vehicle comprising an inner frame, a gimbal system and an outer frame, the inner frame comprising a propulsion system and a control system. The propulsion system being able to generate a lift force. The control system being able to control the orientation of the inner frame. The gimbal system connecting the inner frame to the outer frame with at least two rotation axis allowing rotation freedom between the outer frame to rotate independently from the inner frame.

Abstract: A VTOL (vertical take-off and landing) aerial flying vehicle comprising an inner frame, a gimbal system and an outer frame, the inner frame comprising a propulsion system and a control system. The propulsion system being able to generate a lift force. The control system being able to control the orientation of the inner frame. The gimbal system connecting the inner frame to the outer frame with at least two rotation axis allowing rotation freedom between the outer frame to rotate independently from the inner frame.

Abstract: A new method for the estimation of ego-motion (the direction and amplitude of the velocity) of a mobile device comprising optic-flow and inertial sensors (hereinafter the apparatus). The velocity is expressed in the apparatus's reference frame, which is moving with the apparatus. The method relies on short-term inertial navigation and the direction of the translational optic-flow in order to estimate ego-motion, defined as the velocity estimate (that describes the speed amplitude and the direction of motion). A key characteristic of the invention is the use of optic-flow without the need for any kind of feature tracking. Moreover, the algorithm uses the direction of the optic-flow and does not need the amplitude, thanks to the fact that the scale of the velocity is solved by the use of inertial navigation and changes in direction of the apparatus.

Abstract: A method for acquiring images of a photographic target from arbitrary perspectives with an unmanned aerial vehicle (UAV) equipped with at least one image acquisition device having a fixed acquisition direction with respect to the vehicle, said UAV having automatic navigation means allowing to reach an arbitrary location and automatic attitude control means allowing to transiently reach an arbitrary orientation in space, said photographic target being outside the current field of view of the acquisition device while the UAV flies along a predefined flying path, this method comprising: computing a target UAV position and an orientation in space required to acquire a desired image from a set of parameters, navigating to said target UAV position, modifying an attitude of the UAV in order to modify the acquisition direction to point toward the photographic target, acquiring images, and starting a recovery phase by controlling the UAV back to cruise attitude and navigate back along the predefined flying path.

Abstract: This present invention describes a novel vision-based control strategy for autonomous cruise flight in possibly cluttered environments such as—but not limited to—cities, forests, valleys, or mountains. The present invention is to provide an autopilot that relies exclusively on visual and gyroscopic information, with no requirement for explicit state estimation nor additional stabilisation mechanisms.