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Visar resultat 1 - 5 av 24 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Real Time Vehicle Detection for Intelligent Transportation Systems

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

    Författare :Elda Shurdhaj; Ulehla Christián; [2023]
    Nyckelord :Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

    Sammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER

  3. 2. Reachability Analysis for Occlusion Reasoning in Realistic Autonomous Driving Scenarios

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

    Författare :Enric Condal Asensio; Pere Conte Pallarès; [2023]
    Nyckelord :;

    Sammanfattning : In this Bachelor Thesis, we tackle a crucial issue in autonomous driving technology - the detection and reasoning of occluded areas and potential occluded vehicles in realistic scenarios. Autonomous driving has gained significant momentum in recent years, but ensuring safety remains a major concern. LÄS MER

  4. 3. Use of improved Deep Learning and DeepSORT for Vehicle estimation

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

    Författare :Danna Zheng; [2022]
    Nyckelord :YOLOv4 algorithm; deep learning; DeepSORT; vehicle detection; attention mechanism; vehicle tracking; YOLOv4-algoritmen; djupinlärning; DeepSORT; fordonsdetektering; fordonsspårning;

    Sammanfattning : Intelligent Traffic System (ITS) has high application value in nowadays vehicle surveillance and future applications such as automated driving. The crucial part of ITS is to detect and track vehicles in real-time video stream with high accuracy and low GPU consumption. LÄS MER

  5. 4. Velocity and Steering Control for Automated Personal Mobility Vehicle

    Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Författare :Kui Wang; [2021]
    Nyckelord :Model Predictive Control; Automated Personal Mobility Vehicle; Velocity; Steering; Modellprediktiv Reglering; Automatiserat Personligt Mobilitetsfordon; Hastighet; Styrning;

    Sammanfattning : In this thesis, a Model Predictive Control (MPC) based re-planning and control system is proposed. The MPC re-planner will generate a collision-free path for the controlled vehicle when obstacles are detected, and the controller will make the vehicle move along the reference or re-planned path by adjusting its velocity and steering angle. LÄS MER

  7. 5. Path Following Model Predictive Control for Center-Articulated Vehicles

    Master-uppsats, Uppsala universitet/Signaler och system

    Författare :Gustav Vallinder; [2021]
    Nyckelord :NMPC; MPC; nonlinear model predictive control; model predictive control; path following; mining vehicles.;

    Sammanfattning : Increased safety and productivity are driving factors for the trend in the mining industry where equipment and machines increasingly get automated. An example is the load-haul-dump vehicle, which is a machine that is used for transport of ore in underground mines. LÄS MER