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...

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Detaylı Bibliyografya
Asıl Yazarlar: Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-02-01
Seri Bilgileri:Sensors
Konular:
ADAS
I2V
deep learning
camera to world transform
real time
Online Erişim:https://www.mdpi.com/1424-8220/23/5/2637

Internet

https://www.mdpi.com/1424-8220/23/5/2637

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