Szczegóły publikacji
Opis bibliograficzny
Selected methods for increasing the accuracy of vehicle lights detection / Piotr BOGACKI, Rafał Długosz // W: MMAR 2019 : 24th international conference on Methods and Models in Automation and Robotics : 26–29 August 2019, Międzyzdroje, Polska : abstracts. — Szczecin : ZAPOL Sobczyk, [2019]. — Dod. e-ISBN 978-1-7281-0933-6. — ISBN: 978-83-7518-922-3; e-ISBN: 978-1-7281-0932-9. — S. 33–34. — Pełny tekst w: MMAR 2019 [Dokument elektroniczny] : 24th international conference on Methods and Models in Automation & Robotics : August 26–29, 2019, Międzyzdroje, Poland / Faculty of Electrical Engineering. West Pomeranian University of Technology Szczecin. — [Piscataway] : IEEE, cop. 2019. — Dysk Flash. — S. 227–231. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 231, Abstr. — P. Bogacki - dod. afiliacje: Aptiv Services Poland S A., Kraków
Autorzy (2)
- AGHBogacki Piotr
- Długosz Rafał
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 123704 |
|---|---|
| Data dodania do BaDAP | 2019-09-05 |
| DOI | 10.1109/MMAR.2019.8864675 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | International Conference on Methods and Models in Automation and Robotics 2019 |
Abstract
The paper presents selected methods for improving the accuracy of classification of headlights and taillights of the vehicles. The methods include analyzing blob properties and locations of the detections. A new feature for describing binary blob shape has been proposed. Moreover, data augmentation technique has been used to improve the results of the classification. The referenced system is based on convolutional neural networks (CNNs). New solutions have been tested with comprehensive set of video sequences (of total duration exceeding ten hours) under various weather conditions and from different road types. © 2019 IEEE.
