Sökning: "vision navigation"

Visar resultat 16 - 20 av 83 uppsatser innehållade orden vision navigation.

  1. 16. Submap Correspondences for Bathymetric SLAM Using Deep Neural Networks

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

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

    Sammanfattning : 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). LÄS MER

  3. 17. Boundary Guard for a Field Robot Based on Perception and Localization : A prototype on Husqvarna robotic lawn mower

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

    Författare :Tianze Li; [2022]
    Nyckelord :;

    Sammanfattning : In this thesis we have developed from scratch a perception and localization system that bounds the robot within its operation area. The module is originally designed for a robotic lawn mower, but can be adapted to other differential-drive field robots with minor changes. LÄS MER

  4. 18. Deep Reinforcement Learning for Mapless Mobile Robot Navigation

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ameer Hamza; [2022]
    Nyckelord :Mobile Robot; DRL; Deep Learning; Navigation; Mapless;

    Sammanfattning : Navigation is the fundamental capability of mobile robots which allows them to move fromone point to another without any human interference. The autonomous operation of theserobots is depended on reliable, robust, and intelligent navigation system. LÄS MER

  5. 19. FPGA Implementation of Feature Matching in ORB-SLAM2

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

    Författare :Hannah Lindström; [2022]
    Nyckelord :Autonomous navigation; SLAM; Feature matching; FPGA; ORB; Heterogeneous binary tree; Technology and Engineering;

    Sammanfattning : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. LÄS MER

  7. 20. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

    Master-uppsats, KTH/Mekatronik

    Författare :Filip Elander; [2021]
    Nyckelord :Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

    Sammanfattning : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. LÄS MER