Sökning: "Autonomous Devices"

Visar resultat 1 - 5 av 73 uppsatser innehållade orden Autonomous Devices.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  3. 2. Minimizing the clock drift in partially synchronized heterogeneous TSN networks

    Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Balqis Yusuf; [2023]
    Nyckelord :;

    Sammanfattning : The new generation of embedded systems will increase interaction between the environment, people, and autonomous devices. This will increase their need for communication, particularly in meeting real-time requirements. LÄS MER

  4. 3. Enhancing human-robot interaction using mixed reality

    Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Santiago Molina Morillas; [2023]
    Nyckelord :Human-robot interaction; mixed reality; autonomous mobile robots; safety;

    Sammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER

  5. 4. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Raahitya Botta; Aditya Aditya; [2023]
    Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

    Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

  7. 5. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness

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

    Författare :José Miguel de Almeida Pedro; [2023]
    Nyckelord :SLAM; Robust Estimation; Multi-Device Algorithms; SLAM; Robust uppskattning; Algoritmer för flera enheter;

    Sammanfattning : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. LÄS MER