Essays about: "visuell odometri"
Showing result 1 - 5 of 13 essays containing the words visuell odometri.
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1. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hydrobatic Autonomous Underwater Vehicles (AUVs) are underactuated robots that can perform agile maneuvers in challenging underwater environments with high efficiency in speed and range. The challenge lies in localizing and navigating these AUVs particularly for performing manipulation tasks because common sensors such as GPS become very unreliable underwater due to their poor accuracy. READ MORE
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2. Deep Visual Inertial-Aided Feature Extraction Network for Visual Odometry : Deep Neural Network training scheme to fuse visual and inertial information for feature extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extraction is an essential part of the Visual Odometry problem. In recent years, with the rise of Neural Networks, the problem has shifted from a more classical to a deep learning approach. This thesis presents a fine-tuned feature extraction network trained on pose estimation as a proxy task. READ MORE
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3. Deep Monocular Visual Odometry for fixed-winged Aircraft : Exploring Deep-VO designed for ground use in a high altitude aerial environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In aviation, safety is a big concern. Knowing the position of an aircraft at all times is of high importance. Today most aircraft utilize Global Navigation Satellite Systems (GNSS) for localization and precision navigation because of the small position error which do not increase over time. READ MORE
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4. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE
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5. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. READ MORE
