Essays about: "Autonom Övervakning"

Showing result 1 - 5 of 8 essays containing the words Autonom Övervakning.

  1. 1. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

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

    Author : Mattia Sartori; [2023]
    Keywords : Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

    Abstract : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. READ MORE

  3. 2. Definition and evaluation of a system for measuring local geomagnetic variations : Autonomous station for magnetic measurements

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

    Author : Viktor Olsson; [2023]
    Keywords : Local Geomagnetic Variations; Fluxgate Magnetometer; Space Weather; Solar Wind; Magnetic Measurements; Variometer; Solar Activity.; Lokala geomagnetiska variationer; Fluxgate-Magnetometer; Rymdväder; Solvinden; Magnetiska Mätningar; Variometer; Solaktivitet.;

    Abstract : Earth is under constant influence of the Sun and phenomena driven by the solar wind that may affect man-made technology. These events are summarized under the concept of space weather. This creates variations in Earth’s magnetic field and nearby space. Space weather can affect power grids, gas pipelines and also have effects on human health. READ MORE

  4. 3. Towards Long-Term Autonomous Survivability in Agriculture : A real-time safety watchdog to ensure the survivability of an outdoor plant monitoring robot.

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

    Author : Gurunatraj Parthasarathy; [2022]
    Keywords : Survivability; long-term autonomy; watchdog; agriculture robotics; safety; Överlevnadsförmåga; långsiktig autonomi; watchdog; jordbruksrobotik; säkerhet.;

    Abstract : Autonomous mobile robots in agriculture have brought digital transformations with new automation technologies. Mundane tasks in agricultural fields involve long-term deployment of scheduled assignments done over long working hours. READ MORE

  5. 4. Runtime control for application failure prevention in resource-constrained devices

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

    Author : Javier Albert Smet; [2022]
    Keywords : failure prevention; runtime control; resource-constrained devices; cross-layer optimization; felförebyggande; körtidskontroll; resursbegränsade enheter; optimering över flera lager;

    Abstract : In the last decades, there has been a growing interest towards new use cases in the Internet of Things (IoT) domain, such as extended reality glasses, unmanned aerial vehicles (UAVs), and autonomous driving. The technological advancement observed in such scenarios has also been enabled by the increasing capabilities of small form factor devices. READ MORE

  6. 5. Knowledge Distillation for Semantic Segmentation and Autonomous Driving. : Astudy on the influence of hyperparameters, initialization of a student network and the distillation method on the semantic segmentation of urban scenes.

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

    Author : Juan Sanchez Nieto; [2022]
    Keywords : Knowledge Distillation; Autonomous Driving; Semantic Segmentation; Cityscapes.; Kunskapsdestillation; Autonom Körning; Semantisk Segmentering; Stadslandskap.;

    Abstract : Reducing the size of a neural network whilst maintaining a comparable performance is an important problem to be solved since the constrictions on resources of small devices make it impossible to deploy large models in numerous real-life scenarios. A prominent example is autonomous driving, where computer vision tasks such as object detection and semantic segmentation need to be performed in real time by mobile devices. READ MORE