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1	Automatický odhad nadmořské výšky z obrazu / Altitude Estimation from an Image Vašíček, Jan January 2015 (has links) This thesis is concerned with the automatic altitude estimation from a single landscape photograph. I solved this task using convolutional neural networks. There was no suitable training dataset available having information about image altitude, thus I had to create a new one. To estimate human performance in altitude estimation task, an experiment was conducted counting 100 subjects. The goal of this experiment was to measure the accuracy of the human estimate of camera altitude from an image. The measured average estimation error of subjects was 879 m. An automatic system based on convolutional neural networks outperforms humans with an average elevation error 712 m. The proposed system can be used in more complex scenario like the visual camera geo-localization.
2	GPS/Optical/Inertial Integration for 3D Navigation and Mapping Using Multi-copter Platforms Dill, Evan T. 24 August 2015 (has links) No description available. Electrical Engineering GPS inertial IMU Optical Navigation Kalman Filter EKF Bayesian Estimation SLAM 3D Mapping Laser Based Mapping Integrated Navigation Altitude Estimation Attitude Estimation Feature Extraction Visual Odometry