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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Бібліографічні деталі
Автори: Yves Berviller, Masoomeh Shireen Ansarnia, Etienne Tisserand, Patrick Schweitzer, Alain Tremeau
Формат: Стаття
Мова:English
Опубліковано: MDPI AG 2023-02-01
Серія:Sensors
Предмети:
ADAS
I2V
deep learning
camera to world transform
real time
Онлайн доступ:https://www.mdpi.com/1424-8220/23/5/2637

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