Essays about: "semantic features"

Showing result 16 - 20 of 108 essays containing the words semantic features.

1. 16. The World in 3D : Geospatial Segmentation and Reconstruction

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

   Author : David Robín Karlsson; [2022]
   Keywords : deep learning; ai; machine learning; geospatial; gis; heightmap; semantic segmentation; satellite imagery; aerial imagery;

   Abstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE

3. 17. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

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

   Author : Liu Mingxuan; [2022]
   Keywords : Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

   Abstract : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. READ MORE

4. 18. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

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

   Author : Gustav Henning; [2022]
   Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

   Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE

5. 19. Classification of Terrain Roughness from Nationwide Data Sources Using Deep Learning

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Emily Fredriksson; [2022]
   Keywords : Computer vision; Machine learning; 3D semantic segmentation; Airborne LiDAR data; Terrain classification;

   Abstract : 3D semantic segmentation is an expanding topic within the field of computer vision, which has received more attention in recent years due to the development of more powerful GPUs and the newpossibilities offered by deep learning techniques. Simultaneously, the amount of available spatial LiDAR data over Sweden has also increased. READ MORE

6. 20. Characterizing Pose Uncertainty in Semantic Perception Pipelines : Leveraging semantic information to improve path planning in dynamic environments

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

   Author : Thomas Labourdette-Liaresq; [2022]
   Keywords : ;

   Abstract : Mobile robots possess complex perception pipelines composed of visual and depth sensors which allow them to understand their location and the world around them and build models of this world. Real-time motion planning of mobile robots in complex environments requires the knowledge of the properties of the perception pipeline so that accurate, robust and safe robot operations can be performed. READ MORE