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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Bibliografiska uppgifter
Huvudupphovsmän: Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-02-01
Serie:Sensors
Ämnen:
ADAS
I2V
deep learning
camera to world transform
real time
Länkar:https://www.mdpi.com/1424-8220/23/5/2637

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