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In this paper, we propose a vision-based control system for the localization of an unmanned aerial vehicle (UAV) which equips on-board cameras. The proposed approach is combined a visual odometer with inertial measurement from IMU and pressure signal which compensate attitude and altitude, respectively. For the autonomous control of a UAV, we consider only natural landmarks provided by a feature tracking...
A common prerequisite for many vision-based driver assistance systems is the knowledge of the vehicle's own movement. In this paper we propose a novel approach for estimating the egomotion of the vehicle from a sequence of stereo images. Our method is directly based on the trifocal geometry between image triples, thus no time expensive recovery of the 3-dimensional scene structure is needed. The only...
Time-of-Flight sensors have recently become available at reasonable prices. In comparison to stereo vision system and laser range scanners they combine the advantages of active sensors providing accurate distance measurements and camera-based systems recording a 2D matrix at a high frame rate. Moreover low cost 3D imaging has the potential to open a wide field of additional applications and solutions...
The automation of rotorcraft flight at low altitudes requires on-board acquisition of information about the location of objects in and around the flight path of the vehicle. Due to the covert nature of certain missions, it is desireable to use passive sensors to acquire the range information. Range information about the objects can be computed by combining the optical flow resulting from the sensor...
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