Essays about: "3D-Point Clouds"

Showing result 6 - 10 of 32 essays containing the words 3D-Point Clouds.

  1. 6. Deep Learning for estimation of fingertip location in 3-dimensional point clouds : An investigation of deep learning models for estimating fingertips in a 3D point cloud and its predictive uncertainty

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Phillip Hölscher; [2021]
    Keywords : Deep Learning; Point Cloud; Hand Pose Estimation; Fingertip Localization; Model Uncertainty;

    Abstract : Sensor technology is rapidly developing and, consequently, the generation of point cloud data is constantly increasing. Since the recent release of PointNet, it is possible to process this unordered 3-dimensional data directly in a neural network. READ MORE

  3. 7. An investigation of detecting potholes with UAV LiDAR and UAV Photogrammetry

    University essay from Högskolan i Gävle/Samhällsbyggnad

    Author : Linus Hedenström; Sebastian Eriksson; [2021]
    Keywords : UAV; LiDAR; photogrammetry; potholes; point clouds; SfM; paved; pavement; road; drone; UAV; LiDAR; fotogrammetri; potthål; drönare; asfalt; väg; punktmoln; SfM;

    Abstract : Potholes are caused by erosion and as such always emerging on our roadnetwork. Potholes may not only cause great damages to vehicles, but can alsocause road accidents, which in the worst case are fatal. READ MORE

  4. 8. Deep Learning for Semantic Segmentation of 3D Point Clouds from an Airborne LiDAR

    University essay from Linköpings universitet/Datorseende

    Author : Sabina Serra; [2020]
    Keywords : Deep Learning; Machine Learning; Computer vision; Semantic Segmentation; Unmanned Aerial Vehicle; UAV; LiDAR; Point Cloud; 3D Data; Point Cloud Segmentation; Point Classification; Pre-training; Convolutional Neural Network; CNN; Djupinlärning; maskininlärning; semantisk segmentering; LiDAR; datorseende; punktmoln;

    Abstract : Light Detection and Ranging (LiDAR) sensors have many different application areas, from revealing archaeological structures to aiding navigation of vehicles. However, it is challenging to interpret and fully use the vast amount of unstructured data that LiDARs collect. READ MORE

  5. 9. Domain adaptation from 3D synthetic images to real images

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Krishna Himaja Manamasa; [2020]
    Keywords : Domain adaptation; Transfer learning; Deep learning; 3D point clouds;

    Abstract : Background. Domain adaptation is described as, a model learning from a source data distribution and performing well on the target data. This concept, Domain adaptation is applied to assembly-line production tasks to perform an automatic quality inspection. Objectives. READ MORE

  6. 10. Classification of tree species from 3D point clouds using convolutional neural networks

    University essay from Umeå universitet/Institutionen för fysik

    Author : Marcus Wiklander; [2020]
    Keywords : Neural networks; Convolutional neural networks; tree species classification;

    Abstract : In forest management, knowledge about a forest's distribution of tree species is key. Being able to automate tree species classification for large forest areas is of great interest, since it is tedious and costly labour doing it manually. READ MORE