Essays about: "Punktmoln"

Showing result 16 - 20 of 66 essays containing the word Punktmoln.

  1. 16. Comparison in Barcode and Computing Time for Persistent Homology Applied to a Subset of a Point Cloud

    University essay from

    Author : André Lasses Armatowski; [2022]
    Keywords : ;

    Abstract : At the intersection of topology and computer science lies the field of topological data analysis(TDA). TDA uses the concept of persistence to identify low dimensional topological features of data embedded in high dimensions. READ MORE

  3. 17. Submap Correspondences for Bathymetric SLAM Using Deep Neural Networks

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

    Author : Jiarui Tan; [2022]
    Keywords : Underwater simultaneous localization and mapping; Multibeam echosounder; Point cloud registration; Deep learning; Undervattens simultan lokalisering och kartläggning; Multibeam ekolod; Punktmolnsregistrering; Djupinlärning;

    Abstract : Underwater navigation is a key technology for exploring the oceans and exploiting their resources. For autonomous underwater vehicles (AUVs) to explore the marine environment efficiently and securely, underwater simultaneous localization and mapping (SLAM) systems are often indispensable due to the lack of the global positioning system (GPS). READ MORE

  4. 18. Automatic Point Cloud Modelling for BIM in AEC Sector

    University essay from KTH/Geodesi och satellitpositionering

    Author : Mohamed Salih Abaker Ishag; [2022]
    Keywords : Point cloud; Laser scanning; BIM; Automatic modeling; Clash analysis; Punktmoln; Laserskanning; BIM; Automatisk modellering; Krockanalys;

    Abstract : In this research, automatic point cloud modeling strategies have been tested to find the best strategies to model walls, floors and ceilings classes in terms of processing time and accuracy. The modeling was applied on a point cloud data related to the Architecture, Engineering, and Construction field which is a point cloud of a building collected by Sweco company in Sweden. READ MORE

  5. 19. Deep Learning Semantic Segmentation of 3D Point Cloud Data from a Photon Counting LiDAR

    University essay from Linköpings universitet/Datorseende

    Author : Caspian Süsskind; [2022]
    Keywords : Deep Learning; Machine Learning; Computer vision; Semantic Segmentation; Photon Counting LiDAR; LiDAR; Point Cloud; 3D Data; Point Cloud Segmentation; Point Classification; Convolutional Neural Network; CNN; SPVCNN; Djupinlärning; LiDAR; fotonräknande LiDAR; semantisk segmentering; datorseende; punktmoln; maskininlärning;

    Abstract : Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for collecting 3D point cloud data is Light Detection and Ranging (LiDAR) sensors. READ MORE

  6. 20. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

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

    Author : Jacob Stuart; [2022]
    Keywords : ;

    Abstract : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. READ MORE