Essays about: "kameror"

Showing result 16 - 20 of 164 essays containing the word kameror.

  1. 16. Alignment of Image Sensor using Piezoelectric Crystals

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Julia Jakobsson; Reem Chahrour Muhieddine; [2023]
    Keywords : piezo; piezoelectric; crystal; piezoelectric crystal; piezoelektrisk; kristall; piezoelektrisk kristall; camera; kamera; focus; fokus; Axis; Axis Communications; alignment; justering; prototyp; prototype; algorithm; algoritm; Technology and Engineering;

    Abstract : The use of piezoelectric crystals as a way to achieve automatic alignment of an image sensor in a camera was investigated in collaboration with Axis Communications AB. Piezoelectric crystals can be created into different configurations, piezoelectric stacks being one of the simpler ones. READ MORE

  3. 17. Skyline Delineation for Localization in Occluded Environments : Improved Skyline Delineation using Environmental Context from Deep Learning-based Semantic Segmentation

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

    Author : Kyle William Coble; [2023]
    Keywords : Skyline delineation; Skyline detection; Semantic segmentation; Terrain based navigation; Digital elevation models; Uncrewed surface vessel; Planetary exploration robots; Horisont avgränsning; Horisont upptäckt; Semantisk segmentering; Terrängbaserad navigering; Digitala höjdmodeller; Obemannat ytfartyg; Planetariska utforskningsrobotar;

    Abstract : This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be used in monocular camera localization methods by comparing delineated skylines to digital elevation model data to estimate a position based on known terrain. READ MORE

  4. 18. 3D Gaze Estimation on RGB Images using Vision Transformers

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

    Author : Jing Li; [2023]
    Keywords : 3D Gaze Estimation; Vision Transformers ViTs ; Convolutional Neural Networks CNNs ; Multi-Head Attention; Red-Green-Blue RGB Images; 3D Blickriktningsestimering; Vision Transformers ViTs ; Konvolutionsneurala Nätverk CNNs ; Multi-Head Attention; Röd-Grön-Blå RGB Bilder;

    Abstract : Gaze estimation, a vital component in numerous applications such as humancomputer interaction, virtual reality, and driver monitoring systems, is the process of predicting the direction of an individual’s gaze. The predominant methods for gaze estimation can be broadly classified into intrusive and nonintrusive approaches. READ MORE

  5. 19. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

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

    Author : Beatrice Lovely; [2022]
    Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

    Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE

  6. 20. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Anna Phan; Rogelio Medina; [2022]
    Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE