Essays about: "Localization technique"

Showing result 1 - 5 of 60 essays containing the words Localization technique.

  1. 1. Movement Estimation with SLAM through Multimodal Sensor Fusion

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Jimmy Cedervall Lamin; [2024]
    Keywords : slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

    Abstract : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. READ MORE

  3. 2. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Author : Dolev Illouz; [2023]
    Keywords : super-resolution; alternating descent conditional gradient method; ADCG; multiple-emitter localization; nanoscale imaging; single molecule tracking; Physics and Astronomy;

    Abstract : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. READ MORE

  4. 3. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Somnath Balaji Suresh Kumar; [2023]
    Keywords : Hydrobatic AUVs; VO; Stonefish; ORB-SLAM2; VISO2; Hydrobatiska AUV:er; VO; Stonefish; ORB-SLAM2; VISO2;

    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

  5. 4. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Paula Camargo Romera; [2023]
    Keywords : Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Abstract : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. READ MORE

  6. 5. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

    University essay from KTH/Tillämpad fysik

    Author : Cassandra Mannila; [2023]
    Keywords : Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

    Abstract : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. READ MORE