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Leveraging Lazy Theta* Path Planning for UAV Pseudospectral Trajectory Optimization Initialization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973037" target="_blank" >RIV/49777513:23520/24:43973037 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICARCV63323.2024.10821663" target="_blank" >https://doi.org/10.1109/ICARCV63323.2024.10821663</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICARCV63323.2024.10821663" target="_blank" >10.1109/ICARCV63323.2024.10821663</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Leveraging Lazy Theta* Path Planning for UAV Pseudospectral Trajectory Optimization Initialization

  • Original language description

    This paper examines the influence of initial guesses on trajectory planning for unmanned aerial vehicles (UAVs) formulated in terms of the optimal control problem (OCP). The OCP is solved numerically using the pseudospectral collocation method. Our approach leverages a path identified through Lazy Theta* and incorporates known constraints and a model of the UAV&apos;s behavior for the initial guess. Our findings indicate that a suitable initial guess has a beneficial influence on the planned trajectory and suggests promising directions for future research.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/TN02000054" target="_blank" >TN02000054: Božek Vehicle Engineering National Center of Competence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)

  • ISBN

    979-8-3315-1849-3

  • ISSN

    2474-2953

  • e-ISSN

    2474-963X

  • Number of pages

    6

  • Pages from-to

    422-427

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Dubaj, UAE

  • Event date

    Dec 12, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article