Machine Learning Based Framework for Recognizing Traffic Signs on Road Surfaces

Autor:	Any Gupta, Ayesha Choudhary
Rok vydání:	2020
Předmět:	Zebra crossing Surface (mathematics) business.industry Computer science media_common.quotation_subject Pedestrian crossing Symbol Road surface Situated Computer vision Artificial intelligence Advanced driver Motion planning business media_common
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030493448 SoCPaR
DOI:	10.1007/978-3-030-49345-5_3
Popis:	We propose a novel method for detection and classification of markings on the surface of the road using a camera placed inside the vehicle. Road surface markings can be defined as the text and symbol drawn on the road surface such as, stop signs, zebra crossing, pedestrian crossing, direction arrows, etc. The surface markings are differed from traffic signs which are situated on the sides of the road. These surface markings give great contribution in increasing driving safety in Advanced Driver Assistant Systems (ADAS) by providing guidance and giving the right information to driver about the markings. Their contribution also includes enhancing localization and path planning in ADAS.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff5c8b014689f3188e25d5f6f5a84048 https://doi.org/10.1007/978-3-030-49345-5_3 Zobrazit plný text záznamu