Szczegóły publikacji
Opis bibliograficzny
Analysis of microphone use for perception of autonomous vehicles / Patryk Siwek // W: MMAR 2021 [Dokument elektroniczny] : 2021 25th international conference on Methods and Models in Automation & Robotics : August 23–26, 2021, Międzyzdroje, Poland. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2021. — e-ISBN: 978-1-7281-7380-1. — S. 173–178. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 178, Abstr. — Toż. na Dysku Flash. — e-ISBN: 978-1-7281-7379-5
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 135667 |
|---|---|
| Data dodania do BaDAP | 2021-09-13 |
| Tekst źródłowy | URL |
| DOI | 10.1109/MMAR49549.2021.9528431 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
Many teams focus on the implementation of vehicle perception with the help of artificial intelligence using data from cameras, lidars or radars. A less common approach is to use sound sensors like microphone arrays for this purpose. The use of these data sources can make positive impact on active safety providing additional information about the vehicle and environmental condition. In this article a system for vehicle detection and determination of the arrival angle is presented. It can be used to improve the vehicle safety on road intersections where not always other vehicles can be detected by sensors such as lidars or cameras due to line of sight occlusions. The system makes use of sound source localization (SSL) methods like MUSIC, CSSM, WAVES, TOPS and SRP-PHAT which are briefly described further. The performance obtained by use of each method is compared with others. Presented results from experiments in real environmental conditions offer reasons for further work in this topic.
