Essays about: "Point cloud"

Showing result 21 - 25 of 284 essays containing the words Point cloud.

  1. 21. A Holistic Framework for Analyzing the Reliability of IoT Devices

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

    Author : Leonardo Manca; [2023]
    Keywords : Canvas Learning Management System; Docker containers; Performance tuning Performance tuning; Internet of Things IoT ; Reliability; Failure rate; Availability; Comprehensive framework; IoT architecture; Failure modes; Reliability Block Diagram RBD ; Prestandajustering; Sakernas internet IoT ; Tillförlitlighet; Felfrekvens; Tillgänglighet; Heltäckande ramverk; IoT-arkitektur; Felfunktioner; Till-förlitlighetsblockdiagram RBD Canvas Lärplattform; Dockerbehållare; Prestandajustering;

    Abstract : In the rapidly evolving landscape of the Internet of Things (IoT), ensuring consistency and reliability becomes a top priority for a seamless user experience. In many instances, reliability is assessed through Quality of Service (QoS) metrics, sidelining traditional reliability metrics that thrive on time-dependent failure rates. READ MORE

  3. 22. Clustering on groups for human tracking with 3D LiDAR

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Simon Utterström; [2023]
    Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

  4. 23. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Friedemann Kleinsteuber; [2023]
    Keywords : LiDAR; Domain Adaptation; GAN; CycleGAN; Simulation; LiDAR; Domänadaption; GAN; CycleGAN; Simulation;

    Abstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE

  5. 24. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.

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

    Author : Viktor Kårefjärd; [2023]
    Keywords : Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

    Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE

  6. 25. Towards Cloud Native Context Aware Autonomous Robotics for IoT Applications

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Daniel Olave; [2023]
    Keywords : ;

    Abstract : Sensor networks are widely deployed around the world to measure different environmental variables over time, this general acceptance lowered the cost of installing such systems, but sometimes the requirement of the measuring makes it expensive or impossible to do. For instance, deploying sensors in a hard-to-reach area or just measuring for a brief short of time. READ MORE