Adaptive Visual Teach and Repeat for Changing Environments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334519" target="_blank" >RIV/68407700:21230/19:00334519 - isvavai.cz</a>

Výsledek na webu

<a href="http://labe.felk.cvut.cz/~tkrajnik/itsc.pdf" target="_blank" >http://labe.felk.cvut.cz/~tkrajnik/itsc.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Visual Teach and Repeat for Changing Environments

Popis výsledku v původním jazyce

We will present approaches related to long-term autonomy of autonomous vehicles. These are applied in a universal and robust teach-and-repeat system (https://github.com/gestom/stroll_bearnav/) that can gradually adapt its perception (https://github.com/gestom/grief) and mapping (https://github.com/gestom/stroll_bearnav/wiki/IROS-2019-submission-5-supporting-materials) to deal with the changes of environment. We will show that the environment changes observed during long-term operation are a rich source of information that can make the visual navigation more reliable and robust. The presented system achieved reliable operation in adverse conditions, including night and drastic environment changes, including day-to-night transitions.

Název v anglickém jazyce

Adaptive Visual Teach and Repeat for Changing Environments

Popis výsledku anglicky

We will present approaches related to long-term autonomy of autonomous vehicles. These are applied in a universal and robust teach-and-repeat system (https://github.com/gestom/stroll_bearnav/) that can gradually adapt its perception (https://github.com/gestom/grief) and mapping (https://github.com/gestom/stroll_bearnav/wiki/IROS-2019-submission-5-supporting-materials) to deal with the changes of environment. We will show that the environment changes observed during long-term operation are a rich source of information that can make the visual navigation more reliable and robust. The presented system achieved reliable operation in adverse conditions, including night and drastic environment changes, including day-to-night transitions.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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