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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser:	Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Format:	Artikel
Sprache:	English
Veröffentlicht:	MDPI AG 2023-02-01
Schriftenreihe:	Sensors
Schlagworte:	ADAS I2V deep learning camera to world transform real time
Online Zugang:	https://www.mdpi.com/1424-8220/23/5/2637

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