10 citations · 10 across the 3 of their papers we have counts for
4 papers
Deep learning for radar data exploitation of autonomous vehicle
Arthur Ouaknine
Autonomous driving requires a detailed understanding of complex driving scenes. The redundancy and complementarity of the vehicle's sensors provide an accurate and robust comprehen…
Raw High-Definition Radar for Multi-Task Learning
Julien Rebut, Arthur Ouaknine, Waqas Malik +1
With their robustness to adverse weather conditions and ability to measure speeds, radar sensors have been part of the automotive landscape for more than two decades. Recent progre…
Multi-View Radar Semantic Segmentation
Arthur Ouaknine, Alasdair Newson, Patrick Pérez +2
Understanding the scene around the ego-vehicle is key to assisted and autonomous driving. Nowadays, this is mostly conducted using cameras and laser scanners, despite their reduced…
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
A. Ouaknine, A. Newson, J. Rebut +2
High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be c…