Autonomous Vehicle Control based on HoloLens Technology and Raspberry Pi Platform: an Educational Perspective

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F19%3A00007343" target="_blank" >RIV/46747885:24220/19:00007343 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/46747885:24620/19:00007343

Výsledek na webu

<a href="https://doi.org/10.1016/j.ifacol.2019.12.737" target="_blank" >https://doi.org/10.1016/j.ifacol.2019.12.737</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.737" target="_blank" >10.1016/j.ifacol.2019.12.737</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Autonomous Vehicle Control based on HoloLens Technology and Raspberry Pi Platform: an Educational Perspective

Popis výsledku v původním jazyce

Localization and mapping is an essential part of an autonomous vehicle control. Microsoft HoloLens is a sophisticated augmented reality device using many advanced technologies. As such HoloLens has high appeal for young people and its use in teaching may increase the attractiveness of control classes. In this paper we describe how this device can be used in advanced control education for experiments with autonomous vehicles localization, mapping and control. Among other capabilities HoloLens can provide 3D position information by its spatial mapping feature. This facilitates the simultaneous localization and mapping (SLAM) problem. Furthermore, based on HoloLens position information the students can design vehicle longitudinal and lateral control systems and compare the performance achieved with different strategies such as PID and Model Predictive control. Example comparisons are given in this paper.

Název v anglickém jazyce

Autonomous Vehicle Control based on HoloLens Technology and Raspberry Pi Platform: an Educational Perspective

Popis výsledku anglicky

Localization and mapping is an essential part of an autonomous vehicle control. Microsoft HoloLens is a sophisticated augmented reality device using many advanced technologies. As such HoloLens has high appeal for young people and its use in teaching may increase the attractiveness of control classes. In this paper we describe how this device can be used in advanced control education for experiments with autonomous vehicles localization, mapping and control. Among other capabilities HoloLens can provide 3D position information by its spatial mapping feature. This facilitates the simultaneous localization and mapping (SLAM) problem. Furthermore, based on HoloLens position information the students can design vehicle longitudinal and lateral control systems and compare the performance achieved with different strategies such as PID and Model Predictive control. Example comparisons are given in this paper.

Druh

D - Stať ve sborníku

CEP obor

—

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_025%2F0007293" target="_blank" >EF16_025/0007293: Modulární platforma pro autonomní podvozky specializovaných elektrovozidel pro dopravu nákladu a zařízení</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

Název statě ve sborníku

IFAC-PapersOnLine, Volume 52, Issue 27

ISBN

—

ISSN

24058963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

80-85

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

High Tatras, Slovakia

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000507495200015