Szczegóły publikacji

Opis bibliograficzny

Driver assistance system using augmented reality headset / Filip MALAWSKI // W: TSP 2018 [Dokument elektroniczny] : 41st international conference on Telecommunications and Signal Processing : July 4–6, 2018, Athens, Greece. — Wersja do Windows. — Dane tekstowe. — Brno : Brno University of Technology. Faculty of Electrical Engineering and Communication, 2018. — e-ISBN: 978-1-5386-4695-3. — S. 250–253. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf [2018-07-24]. — Bibliogr. s. 253, Abstr.

Autor

Słowa kluczowe

driver assistanceaugmented realitypedestrian detectionfalling asleep detection

Dane bibliometryczne

ID BaDAP115463
Data dodania do BaDAP2018-08-06
DOI10.1109/TSP.2018.8441298
Rok publikacji2018
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaInternational Conference on Telecommunications and Signal Processing 2018

Abstract

Recently, advanced image processing algorithms have been employed to analyse the environment while driving and provide the driver with useful information. Driver assistance systems can detect pedestrians, recognize road signs and provide navigation instructions. On the other hand, the means of presenting these information are rather crude and typically include a small display. Therefore, the driver needs to divide attention between the display and the real world. This issue can be addressed by employing Augmented Reality (AR). In this paper we propose a system in which important information for the driver are displayed on semi-transparent glasses included in an AR-headset and therefore are mixed with the real-world view. Environment analysis is performed on a smartphone which communicates with the headset, which in turn is responsible for detecting their relative position and aligning views. Proof-ofconcept scenario includes pedestrian detection as well as falling asleep detection, with use of a built-in accelerometer.

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