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On Close Enough Orienteering Problem with Dubins Vehicle

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312672" target="_blank" >RIV/68407700:21230/17:00312672 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IROS.2017.8206453" target="_blank" >http://dx.doi.org/10.1109/IROS.2017.8206453</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IROS.2017.8206453" target="_blank" >10.1109/IROS.2017.8206453</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Close Enough Orienteering Problem with Dubins Vehicle

  • Original language description

    In this paper, we address a generalization of the Orienteering Problem (OP) for curvature-constrained vehicles and to problems where it is allowed to collect a reward associated to each target location within a specified distance from the target. The addressed problem combines challenges of the combinatorial optimization of the OP (to select the most rewarding targets and find the optimal sequence to visit them) with the continuous optimization related to the determination of the waypoint locations and suitable headings at the waypoints for the considered Dubins vehicle such that the curvature-constrained path does not exceed the given travel budget and the sum of the collected rewards is maximized. The proposed generalization is called the Close Enough Dubins Orienteering Problem (CEDOP) and novel unsupervised learning approach is proposed to address computational requirements of this challenging planning problem. Based on the presented results, the proposed approach is feasible and provides a bit worse solution of CEDOP than the existing combinatorial approach but with significantly lower computational requirements.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA16-24206S" target="_blank" >GA16-24206S: Efficient Information Gathering with Dubins Vehicles in Persistent Monitoring and Surveillance Missions</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

  • ISBN

    978-1-5386-2682-5

  • ISSN

    2153-0858

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    5646-5652

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Vancouver

  • Event date

    Sep 24, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426978205047