Essays about: "Pose estimation"
Showing result 21 - 25 of 120 essays containing the words Pose estimation.
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21. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. READ MORE
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22. Tracking motion in mineshafts : Using monocular visual odometry
University essay from Umeå universitet/Institutionen för fysikAbstract : LKAB has a mineshaft trolley used for scanning mineshafts. It is suspended down into a mineshaft by wire, scanning the mineshaft on both descent and ascent using two LiDAR (Light Detection And Ranging) sensors and an IMU (Internal Measurement Unit) used for tracking the position. READ MORE
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23. AUV SLAM constraint formation using side scan sonar
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous underwater vehicle (AUV) navigation has been a challenging problem for a long time. Navigation is challenging due to the drift present in underwater environments and the lack of precise localisation systems such as GPS. Therefore, the uncertainty of the vehicle’s pose grows with the mission’s duration. READ MORE
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24. Designing for Body Awareness : Exploring the Interaction Between Screen and Participant in Pre-Recorded Online Workouts
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : This thesis explores how we might design the interaction between the screen and participant in a pre-recorded online workout to enhance body awareness. This thesis uses a user-centred design approach combined with autoethnographic research to address the challenges of pre-recorded video workouts. READ MORE
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25. 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