Essays about: "RGB-D Camera"

Showing result 1 - 5 of 17 essays containing the words RGB-D Camera.

  1. 1. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Author : Isabella Luppi; [2023]
    Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE

  3. 2. Evaluation of Tree Planting using Computer Vision models YOLO and U-Net

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Sofie Liszka; [2023]
    Keywords : Unet; YOLOv8; Autonomous tree planting;

    Abstract : Efficient and environmentally responsible tree planting is crucial to sustainable land management. Tree planting processes involve significant machinery and labor, impacting efficiency and ecosystem health. In response, Södra Skogsägarna introduced the BraSatt initiative to develop an autonomous planting vehicle called E-Beaver. READ MORE

  4. 3. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

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

    Author : Kristín Sól Ólafsdóttir; [2023]
    Keywords : Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

    Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE

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

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

    Author : Tianze Li; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

  6. 5. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems

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

    Author : Federico Bennasciutti; [2022]
    Keywords : DeepLearning; Visual Odometry; Computer Vision; RGB-D Camera; Feature Extraction; Interest Point Extraction; Djupinlärning; Visuell Odometri; Datorseende; RGB-D-kamera; Nyckelpunkter; Detektion;

    Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE