Sökning: "Indoor navigation"

Visar resultat 6 - 10 av 93 uppsatser innehållade orden Indoor navigation.

  1. 6. Performance Analysis of Li-fi Communication System

    Master-uppsats, Högskolan i Gävle/Avdelningen för byggnadsteknik, energisystem och miljövetenskap

    Författare :Katrun Nada; [2022]
    Nyckelord :;

    Sammanfattning : Li-fi is a promising technology in today’s communication system. It may bringup the many benefits over other communication technologies. Since light isthe main source to provide data, and this is available everywhere around, itmay compete with other technologies that use radio communication. LÄS MER

  3. 7. Simple RSRP Fingerprint Collection Setup and Indoor Positioning in 5G

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Sofi Flink; Annie Tallund; [2022]
    Nyckelord :5G; indoor positioning; radio fingerprint; k nearest neighbor; naive bayes; automated data collection; Technology and Engineering;

    Sammanfattning : Solving for a way to accurately predict the position of a user equipment is crucial in an array of applications within 5G new radio. One approach is to form unique identifiers, also known as fingerprints, and map them to positional data in an area. LÄS MER

  4. 8. Populating a Database to be used with an Indoor Positioning System

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

    Författare :Maria Halvarsson; Jinglan Qin; [2022]
    Nyckelord :Indoor positioning system; Bluetooth Low Energy; Relational database; AWS cloud services; Indoor asset tracking; Indoor navigation; Indoor localization; Database design; Inomhuspositioneringssystem; Bluetooth Low Energy; Relationsdatabas; AWS molntjänster; Tillgångsspårning; Inomhusnavigering; Inomhuslokalisering; Databasdesign;

    Sammanfattning : Indoor Positioning System (IPS) are becoming more common in many areas such as retail, warehouses, smart facilities, and manufacturing.In recent years, Bluetooth Low Energy (BLE)-based IPS has become increasingly popular due to its low cost and low energy consumption. One of the more recent updates, Bluetooth 5. LÄS MER

  5. 9. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation

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

    Författare :Yang Wang; [2022]
    Nyckelord :Gazebo; YOLO; Object detection; Fault tolerance; Fault Injection; Network pruning; Gazebo; YOLO; Objektdetektering; Feltolerans; Felinjektion; Nätverk beskärning;

    Sammanfattning : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. LÄS MER

  7. 10. Deep Reinforcement Learning for Mapless Mobile Robot Navigation

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ameer Hamza; [2022]
    Nyckelord :Mobile Robot; DRL; Deep Learning; Navigation; Mapless;

    Sammanfattning : Navigation is the fundamental capability of mobile robots which allows them to move fromone point to another without any human interference. The autonomous operation of theserobots is depended on reliable, robust, and intelligent navigation system. LÄS MER