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In this thesis, an attitude sensor is used to compensate the rotational camera motion, and to generate virtual images to simulate pure translation motion. This compensation is made possible by a calibration routine which determines the rotation between the camera and inertial sensor frames. The objective is to facilitate vision-based tasks such as navigation over smooth terrain, 3D point cloud registration, and image mosaicing. In the rotation-compensated, pure translation case, homographies are reduced to planar homologies. In the particular case where the ground plane is horizontal, the…mehr

Produktbeschreibung
In this thesis, an attitude sensor is used to compensate the rotational camera motion, and to generate virtual images to simulate pure translation motion. This compensation is made possible by a calibration routine which determines the rotation between the camera and inertial sensor frames. The objective is to facilitate vision-based tasks such as navigation over smooth terrain, 3D point cloud registration, and image mosaicing. In the rotation-compensated, pure translation case, homographies are reduced to planar homologies. In the particular case where the ground plane is horizontal, the relative pose between two views can also be recovered by directly nding a rigid transformation to register corresponding scene coordinates. These models perform fairly accurately especially when estimating the vertical component. The results include recovering trajectories of hundreds of meters for an airship UAV and comparison with GPS data, and using a 3D graph optimization SLAM package to minimize the drift in visual odometry after recovering other relative pose constraints.
Autorenporträt
Dr. Mirisola is an assistant professor at the Federal University of the ABC, Brazil. He holds a PhD in Computer Engineering from the University of Coimbra, Portugal, and MSc Degrees from USA and Brazil. His main interests are software architectures and computer vision applied to robotic vehicles including airships and land vehicles.