Incremental, orthorectified and loop-independent mosaicking of aerial images taken by micro UAVs

Yahyanejad, Saeed; Quaritsch, Markus; Rinner, Bernhard

doi:10.1109/rose.2011.6058531

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…Because homography transforms a plane into a plane, it can be used only to map photos from a drone flying at a high altitude, so that the height of the objects on the ground is small in relation to the flight altitude of the drone [28]. This assumption is not fulfilled during calibration, in which the camera is located just a few meters from the target.…”

Section: Perspective Transformation (1) Homographymentioning

confidence: 99%

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

et al. 2019

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Unmanned aerial vehicles (UAVs) are widely used to protect critical infrastructure objects, and they are most often equipped with one or more RGB cameras and, sometimes, with a thermal imaging camera as well. To obtain as much information as possible from them, they should be combined or fused. This article presents a situation in which data from RGB (visible, VIS) and thermovision (infrared, IR) cameras and 3D data have been combined in a common coordinate system. A specially designed calibration target was developed to enable the geometric calibration of IR and VIS cameras in the same coordinate system. 3D data are compatible with the VIS coordinate system when the structure from motion (SfM) algorithm is used. The main focus of this article is to provide the spatial coherence between these data in the case of relative camera movement, which usually results in a miscalibration of the system. Therefore, a new algorithm for the detection of sensor system miscalibration, based on phase correlation with automatic calibration correction in real time, is introduced.

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Section: Perspective Transformation (1) Homographymentioning

confidence: 99%

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

et al. 2019

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“…Moreover, the help of auxiliary sensors is required. Other related works of this group for low-altitude aerial images can be found in [9], [15]. In the field of satellite imagery, true orthophotos are used to solve problems caused by parallax such as ghosting and blurring [16] [17].…”

Section: Related Workmentioning

confidence: 99%

Automatic Stitching System for Images of Plane-Like Scenes

Huang¹,

Wen²,

Xue³

et al. 2013

Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications

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Traditional panoramic image stitching, which refers to single-viewpoint cylindrical or spherical panorama generation, has two crucial limitations when it is used for planelike scenes. One is the severe distortion induced by warping, and the other is that the optical center of camera must be fixed. However, existing stitching methods designed for plane-like scenes also have some drawbacks, such as ghosting and limited adaptability. In this paper, an Automatic Stitching System for Images of Plane-like Scenes (AS-SIPS) is proposed to overcome the limitations and drawbacks. In ASSIPS, input images are taken with a handheld camera which is translated along the scene. Images are firstly used to estimate their camera poses and calculate the sparse structure of the scene. Then a dominant plane is found out and all the input images are warped according to the plane. Finally, warped images are aligned incrementally with similarity model and a simplified multiband blending algorithm is used in the process of image blending. Results of ASSIPS for various plane-like scenes prove that it can provide visually attractive panoramic images which look like taken with the direction perpendicular to the scene, and effectively eliminate stitching seams, blurs and ghosts.

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“…In different applications, different levels of autonomy may be needed. For instance, in aerial image mosaicking, each individual UAV will move to a set of pre-planned way-points which can be implemented in a centralized manner [17,16]. In addition, a user can manually define a point on a map to be visited.…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Multi-UAV System for Search and Rescue

Scherer

Yahyanejad

Hayat

et al. 2015

Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use

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248

124

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This paper proposes and evaluates a modular architecture of an autonomous unmanned aerial vehicle (UAV) system for search and rescue missions. Multiple multicopters are coordinated using a distributed control system. The system is implemented in the Robot Operating System (ROS) and is capable of providing a real-time video stream from a UAV to one or more base stations using a wireless communications infrastructure. The system supports a heterogeneous set of UAVs and camera sensors. If necessary, an operator can interfere and reduce the autonomy. The system has been tested in an outdoor mission serving as a proof of concept. Some insights from these tests are described in the paper.

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Incremental, orthorectified and loop-independent mosaicking of aerial images taken by micro UAVs

Cited by 8 publications

References 16 publications

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

Online Correction of the Mutual Miscalibration of Multimodal VIS–IR Sensors and 3D Data on a UAV Platform for Surveillance Applications

Automatic Stitching System for Images of Plane-Like Scenes

An Autonomous Multi-UAV System for Search and Rescue

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