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Fast Sequence Rejection for Multi-Goal Planning 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%2F20%3A00347638" target="_blank" >RIV/68407700:21230/20:00347638 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/IROS45743.2020.9340644" target="_blank" >https://doi.org/10.1109/IROS45743.2020.9340644</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IROS45743.2020.9340644" target="_blank" >10.1109/IROS45743.2020.9340644</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast Sequence Rejection for Multi-Goal Planning with Dubins Vehicle

  • Original language description

    Multi-goal curvature-constrained planning such as the Dubins Traveling Salesman Problem (DTSP) combines NP-hard combinatorial routing with continuous optimization to determine the optimal vehicle heading angle for each target location. The problem can be addressed as combinatorial routing using a finite set of heading samples at target locations. In such a case, optimal heading samples can be determined for a sequence of targets in polynomial time, and the DTSP can be solved as searching for a sequence with the minimal cost. However, the examination of sequences can be computationally demanding for high numbers of heading samples and target locations. A fast rejection schema is proposed to quickly examine unfavorable sequences using lower bound estimation of Dubins tour cost based on windowing technique that evaluates short subtours of the sequences. Furthermore, the computation using small problem instances can benefit from reusing stored results and thus speed up the search. The reported results indicate that the computational burden is decreased about two orders of magnitude, and the proposed approach supports finding high-quality solutions of routing problems with Dubins vehicle.

  • 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/GA19-20238S" target="_blank" >GA19-20238S: Multi-Robot Persistent Monitoring of Dynamic Environments</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems

  • ISBN

    978-1-7281-6212-6

  • ISSN

    2153-0858

  • e-ISSN

    2153-0866

  • Number of pages

    8

  • Pages from-to

    6773-6780

  • Publisher name

    IEEE Robotics and Automation Society

  • Place of publication

    Piscataway

  • Event location

    Las Vegas

  • Event date

    Oct 25, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article