Experimental technique to enhance SLAM modelling of autonomous vehicle with Microsoft© Hololens
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F19%3A00006629" target="_blank" >RIV/46747885:24220/19:00006629 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24620/19:00006629
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Experimental technique to enhance SLAM modelling of autonomous vehicle with Microsoft© Hololens
Original language description
This presented paper, intends to introduce new approach to Simultaneous Localization and Mapping (SLAM) problem in autonomous vehicle by scanning the environment based on commercially available Microsoft HoloLens technology. Such a device is the first functional augmented reality gadget offered to a wide audiences. The whole mean of project is to propose an innovative hybrid architecture on SLAM. For certain landmarks extended Kalman filter (EKF) is applied. Therefore the computational complexity is minimized and remaining information for absolute reliable and accurate locations are achieved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Experimental Stress Analysis - 57th International Scientific Conference, EAN 2019 - Conference Proceedings
ISBN
978-802145766-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
314-321
Publisher name
Czech Society for Mechanics
Place of publication
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Event location
Luhačovice
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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