Hazem Rashed — accepted AI-conference papers

2022

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving

Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur +1

RA-L 2022

Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial vehicles primarily used for parking visualization and automated parking. Four fisheye cameras with a <inline-formula xmlns:mml="http://www.w3.or

Cited by 65 Source ↗Scholar ↗

2021

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving

Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang +2

RA-L 2021

Surround View fisheye cameras are commonly deployed in automated driving for 360 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> near-field sensing around the vehicle. This work presents a multi-task visual perception network on unrectified fish

Cited by 111 Source ↗code ↗Scholar ↗

2019

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving

Senthil Yogamani, Ciaran Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea +11

ICCV 2019oral

Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images. We release the…

Cited by 350 PDF ↗code ↗Scholar ↗