Sökning: "Map Data Representation"

Visar resultat 1 - 5 av 57 uppsatser innehållade orden Map Data Representation.

  1. 1. Optimization of Path and Trajectory for Underground Mining Machines

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Farid Marouki; [2023]
    Nyckelord :;

    Sammanfattning : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. LÄS MER

  3. 2. The renegotiation of Swedengate : A temporal and discursive examination of a viral phenomenon

    Master-uppsats, Umeå universitet/Sociologiska institutionen

    Författare :Felicia Lundstedt; [2023]
    Nyckelord :viral phenomenon; social media; discourse; articulation; floating signifier; antagonism; hashtag publics; nation branding;

    Sammanfattning : This study examines the discursive development of the viral online phenomenon known by the hashtag #swedengate. Having originally revolved around Swedish dinner customs, the discussion and the meaning of ‘Swedengate’ soon came to encompass more serious themes, including various forms of criticism directed at Sweden. LÄS MER

  4. 3. Preserving the Mental Map when Visualizing Dynamic Graphs : An Approach for Intermediate Representations in the C2 Java Compiler

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emmy Yin; [2023]
    Nyckelord :Dynamic Graphs; Graph Layout Algorithms; Visualization; Hierarchical Graph Layouts; Dynamiska grafer; grafritningsalgoritmer; visualisering; hierarkiska grafritningar;

    Sammanfattning : Graphs are powerful data structures that are widely used to represent complex forms of information. One area in which graphs are successfully being used is within compiler engineering, where a program under compilation can be represented as a graph that changes as the program is being compiled. LÄS MER

  5. 4. MmWave Radar-based Deep Learning Collision Prediction

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Taylor Lauren V'dovec; [2023]
    Nyckelord :collision prediction; mmWave radar; deep learning; variational autoencoder VAE ; drone; autonomous navigation; kollisionsprognos; mmWave radar; djupinlärning; variational autoencoder VAE ; drönare; autonom navigation;

    Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER

  7. 5. Privacy threat analysis and evaluation of Privacy Enhancing Technologies for the integration of 3D Scene Graphs in smart buildings

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Alejandra Mugica Trapaga; [2023]
    Nyckelord :3DSG; DFD; Hydra; IoT; LINDDUN; PETs; Privacy; Threat modeling.; Technology and Engineering;

    Sammanfattning : The recent advent of 3DSG in the computer vision domain has brought powerful high-level representations of 3D environments. These representations strive to mimic human perception and facilitate the extraction of meaningful insight from visual data. LÄS MER