Sökning: "Absolute Localization"
Visar resultat 6 - 10 av 15 uppsatser innehållade orden Absolute Localization.
6. Deep Feature UAV Localization in Urban Areas and Agricultural Fields and Forests
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The reliance on GPS for Unmanned Aerial Vehicle (UAV) localization limits the areas of application to places with a stable GPS signal. The emergence of deep learning in computer vision has made deep learning methods for visual UAV navigation a promising candidate for autonomous GPS denied localization. LÄS MER
7. Millimeter Wave Radar as Navigation Sensor on Robotic Vacuum Cleaner
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Does millimeter-wave radar have the potential to be the navigational instrument of a robotic vacuum cleaner in a home? Electrolux robotic vacuum cleaner is currently using a light sensor to navigate through the home while cleaning. Recently Texas Instruments released a new mmWave radar sensor, operating in the frequency range 60-64 GHz. LÄS MER
8. A Comparison of Motion Priors for EKF-SLAM in Autonomous Race Cars
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simultaneous Localization and Mapping (SLAM) is one of the fundamental problems to solve for any autonomous vehicle or robot. The SLAM problem is for an agent to incrementally build a map of its surroundings while keeping track of its location within the map, using various sensors. LÄS MER
9. Stereo Camera Pose Estimation to Enable Loop Detection
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Visual Simultaneous Localization And Mapping (SLAM) allows for three dimensionalreconstruction from a camera’s output and simultaneous positioning of the camera withinthe reconstruction. With use cases ranging from autonomous vehicles to augmentedreality, the SLAM field has garnered interest both commercially and academically. LÄS MER
10. 3D Position Estimation using Deep Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The estimation of the 3D position of an object is one of the most important topics in the computer vision field. Where the final aim is to create automated solutions that can localize and detect objects from images, new high-performing models and algorithms are needed. LÄS MER