Sökning: "autonomous navigation"

Visar resultat 11 - 15 av 181 uppsatser innehållade orden autonomous navigation.

  1. 11. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS

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

    Författare :Puya Faghi; [2023]
    Nyckelord :Lane estimation; Lane detection; Map-matching; Sensor fusion; Smart camera; Vehicle Radar; Intelligent vehicle systems; Körfältsestimering; Körfältsdetektering; Kartmatchning; Sensorfusion; Smart Kamera; Radar system; Fordonsradar; Intelligenta fordonssystem;

    Sammanfattning : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. LÄS MER

  3. 12. Doppler radar odometry for localization in difficult underground environment

    Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Emil Fritz; Annika Nilsson; [2023]
    Nyckelord :SLAM; Localization; Mappers; Odometry; Drift; RIO; Radar; Lidar; IMU;

    Sammanfattning : Accurate and efficient localization is a fundamental requirement for autonomous operation of robots, especially in areas that deny global navigation services. Localization is even more challenging in environments that present visual and geographic difficulties. LÄS MER

  4. 13. Velocity Obstacle method adapted for Dynamic Window Approach

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

    Författare :Florian Coissac; [2023]
    Nyckelord :Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

    Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER

  5. 14. Forecasting UAS capability with a five-year timeframe

    Master-uppsats, Försvarshögskolan

    Författare :Anton Dahlström; [2023]
    Nyckelord :UAS; UAV; UCAV; RPAS; Drone; DJI; Ukraine; Israel; Russia; Capability; Forecast; UAS; UAV; UCAV; RPAS; Drönare; DJI; Ukraina; Israel; Ryssland; Förmåga; Prognos;

    Sammanfattning : During the war in Ukraine, technical and tactical innovation in the deployment of commercial drones for IRS and strike missions, and artillery spotting have been witnessed. This study aims to create a better understanding of evolving UAS capability and create a use-case forecasting UAS capability in five years. LÄS MER

  7. 15. The Interconnectivity Between SLAM and Autonomous Exploration : Investigation Through Integration

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

    Författare :Elliði Ívarsson; [2023]
    Nyckelord :SLAM; ORB-SLAM2; Autonomous exploration; UFOExplorer; Integration; SLAM; ORB-SLAM2; Autonom Utforskning; UFOExplorer; Integration;

    Sammanfattning : Two crucial functionalities of a fully autonomous robotic agent are localization and navigation. The problem of enabling an agent to localize itself in an unknown environment is an extensive and widely studied topic. One of the main areas of this topic focuses on Simultaneous Localization and Mapping (SLAM). LÄS MER