Road User Position and Speed Estimation via Deep Learning from Calibrated Fisheye Videos

Road User Position and Speed Estimation via Deep Learning from Calibrated Fisheye Videos

In this paper, we present a deep learning processing flow aimed at Advanced Driving Assistance Systems (ADASs) for urban road users. We use a fine analysis of the optical setup of a fisheye camera and present a detailed procedure to obtain Global Navigation Satellite System (GNSS) coordinates along...

Полное описание

Библиографические подробности
Главные авторы:	Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Формат:	Статья
Язык:	English
Опубликовано:	MDPI AG 2023-02-01
Серии:	Sensors
Предметы:	ADAS I2V deep learning camera to world transform real time
Online-ссылка:	https://www.mdpi.com/1424-8220/23/5/2637

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