Sökning: "Mobile Robotics"

Visar resultat 6 - 10 av 65 uppsatser innehållade orden Mobile Robotics.

  1. 6. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

    Författare :Mattias Hansson; [2023]
    Nyckelord :Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

    Sammanfattning : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. LÄS MER

  3. 7. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Cristian David Echeverry Valencia; [2023]
    Nyckelord :Continual Learning; Progressive Neural Networks; mobile robotics; Computer Vision; Machine Learning; Semantic Segmentation;

    Sammanfattning : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. LÄS MER

  4. 8. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

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

    Författare :Erik Warberg; [2023]
    Nyckelord :Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

    Sammanfattning : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. LÄS MER

  5. 9. Robotics Approach in Mobile Laser Scanning : Generation of Georeferenced Point-based Forest Models

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

    Författare :Tamas Faitli; [2023]
    Nyckelord :mobile laser scanning; rotating lidar; slam; real-time positioning; georeferencing; state estimation; lidar odometry; point-based forest model; forest harvester; forestry; mobil laserskanning; roterande lidar; slam; realtidspositionering; georeferens; tillståndsuppskattning; lidarodometri; punktbaserad skogsmodell; skogsskördare; skogsbruk;

    Sammanfattning : A mobile laser scanning (MLS) system equipped with a lidar, inertial navigation system and satellite positioning can be used to reconstruct georeferenced point-based models of the surveyed environments. Ideal reconstruction requires accurate trajectories that are challenging to obtain in forests. LÄS MER

  7. 10. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
    Nyckelord :Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

    Sammanfattning : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. LÄS MER