Sökning: "Indoor datasets"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Indoor datasets.
1. Automatic Semantic Segmentation of Indoor Datasets
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER
2. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER
3. Using Optical Flow to provide robustness for animage sensor based multiangulation positioning system
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : The use of image sensors in positioning systems has increased significantly the last years, spanning from complex SLAM-systems to simpler triangulation based methods. In the latter case, occlusion of anchor points may render the triangulation unsolvable, and any practical implementation must address this problem. LÄS MER
4. Learned Multi-Sensor Indoor Positioning of Mobile Devices
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Attenuation of the microwave signal used in the Global Positioning System (GPS) due to interaction with building structures complicates the task of accurate indoor positioning. For this reason, research on alternative approaches is being performed at universities and companies worldwide. LÄS MER
5. Indoor scene verification : Evaluation of indoor scene representations for the purpose of location verification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : When human’s visual system is looking at two pictures taken in some indoor location, it is fairly easy to tell whether they were taken in exactly the same place, even when the location has never been visited in reality. It is possible due to being able to pay attention to the multiple factors such as spatial properties (windows shape, room shape), common patterns (floor, walls) or presence of specific objects (furniture, lighting). LÄS MER