Sökning: "Vägplanering"

Visar resultat 1 - 5 av 45 uppsatser innehållade ordet Vägplanering.

  1. 1. 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

  2. 2. Optimization-Based Path Planning For Indoor UAVs in an Autonomous Exploration Framework

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

    Författare :Marco Cella; [2023]
    Nyckelord :Optimal Path Planning; B-Splines; Autonomous Exploration; Indoor UAV; Crisis and Disaster Management; Trajectory Estimation; SITL; Optimal Banplanering; B-Splines; Autonom Utforskning; Inomhus-UAV; Kris- och Katastrofhantering; Uppskattning av Banor; SITL;

    Sammanfattning : Exploration is a fundamental problem in robotics that requires robots to navigate through unknown environments to autonomously gather information about their surroundings while executing collision-free paths. In this project, we propose a method for producing smooth paths during the exploration process in indoor environments using UAVs to improve battery efficiency and enhance the quality of pose estimation. LÄS MER

  3. 3. Data Harvesting and Path Planning in UAV-aided Internet-of-Things Wireless Networks with Reinforcement Learning : KTH Thesis Report

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

    Författare :Yuming Zhang; [2023]
    Nyckelord :Unmanned aerial vehicle; the Internet of Things; data harvesting; obstacle avoidance; path planning; deep reinforcement learning; Obemannat luftfordon; sakernas internet; datainsamling; undvikande av hinder; vägplanering; djup förstärkningsinlärning;

    Sammanfattning : In recent years, Unmanned aerial vehicles (UAVs) have developed rapidly due to advances in aerospace technology, and wireless communication systems. As a result of their versatility, cost-effectiveness, and flexibility of deployment, UAVs have been developed to accomplish a variety of large and complex tasks without terrain restrictions, such as battlefield operations, search and rescue under disaster conditions, monitoring, etc. LÄS MER

  4. 4. Estimation of severe crash frequency using two surrogates

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Zhankun Chen; [2022]
    Nyckelord :Multivariate Extreme Value distributions; Copula; Extreme Value Theory; Crash frequency; Surrogate Meausre of Safety; Road safety; Mathematics and Statistics;

    Sammanfattning : This thesis is concerned with the estimation of crash frequency based on the bivariate modeling of surrogate measures of safety (SMoS), which serve as indicators for traffic risk. Using the SMoS, any traffic conflict between two road users can be described by their proximity together with their hypothetical consequence. LÄS MER

  5. 5. Path and Route Planning for Indoor Monitoring with UAV : An Evaluation of Algorithms for Time-constrained Path and Route Planning in an Indoor Environment with Several Waypoints and Limited Battery Time

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

    Författare :Ola Johansson; [2022]
    Nyckelord :UAV; path planning; route planning; drone; combinatorial optimization; Ruttplanering; banplanering; vägplanering drönare; kombinatorisk optimisering;

    Sammanfattning : Unmanned flying vehicles (UAVs) are tools that can be used in a variety of scenarios. The most common areas of application are outdoors, where there are not many obstacles to take into consideration when planning a route. LÄS MER