Cooperative Agent Navigation in Partially Unknown Urban Environments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00170622" target="_blank" >RIV/68407700:21230/10:00170622 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/1967112.1967118" target="_blank" >http://dx.doi.org/10.1145/1967112.1967118</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/1967112.1967118" target="_blank" >10.1145/1967112.1967118</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cooperative Agent Navigation in Partially Unknown Urban Environments

Popis výsledku v původním jazyce

Navigation of unmanned ground vehicles in an urban area is a fundamental problem which has to be solved prior to real-world deployment of the autonomous ground assets. Since the topology data of the environment are usually known a priori, they can be exploited in high-level planning of the routes. On the other hand, the low-level robot control requires precise path to follow and thus trajectory planning has to be adopted as well. Finally, the particular details of the environment can differ from the known topology and thus the vehicles need an area exploration method. The integrated multi-agent system for cooperative navigation in partially unknown urban environment is introduced and validated using vehicle physics based simulation. The goal is to support the navigation of a convoy by a set of unmanned vehicles in an urban environment to avoid convoy stops or u-turns and minimize the total traveled distance of all vehicles.

Název v anglickém jazyce

Cooperative Agent Navigation in Partially Unknown Urban Environments

Popis výsledku anglicky

Navigation of unmanned ground vehicles in an urban area is a fundamental problem which has to be solved prior to real-world deployment of the autonomous ground assets. Since the topology data of the environment are usually known a priori, they can be exploited in high-level planning of the routes. On the other hand, the low-level robot control requires precise path to follow and thus trajectory planning has to be adopted as well. Finally, the particular details of the environment can differ from the known topology and thus the vehicles need an area exploration method. The integrated multi-agent system for cooperative navigation in partially unknown urban environment is introduced and validated using vehicle physics based simulation. The goal is to support the navigation of a convoy by a set of unmanned vehicles in an urban environment to avoid convoy stops or u-turns and minimize the total traveled distance of all vehicles.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 3rd International Symposium on Practical Cognitive Agents and Robots

ISBN

978-1-4503-0250-0

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

46-53

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Toronto, ON

Datum konání akce

10. 5. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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