23 citations · 47 across the 5 of their papers we have counts for
6 papers
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
Pullarao Maddu, Wayne Doherty, Ganesh Sistu +7
Automated Parking is a low speed manoeuvring scenario which is quite unstructured and complex, requiring full 360° near-field sensing around the vehicle. In this paper, we discuss…
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab +1
Moving Object Detection (MOD) is a critical task for autonomous vehicles as moving objects represent higher collision risk than static ones. The trajectory of the ego-vehicle is pl…
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
Hazem Rashed, Mohamed Ramzy, Victor Vaquero +3
Moving object detection is a critical task for autonomous vehicles. As dynamic objects represent higher collision risk than static ones, our own ego-trajectories have to be planned…
FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving
Marie Yahiaoui, Hazem Rashed, Letizia Mariotti +5
Moving Object Detection (MOD) is an important task for achieving robust autonomous driving. An autonomous vehicle has to estimate collision risk with other interacting objects in t…
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving
Khaled El Madawy, Hazem Rashed, Ahmad El Sallab +3
LiDAR has become a standard sensor for autonomous driving applications as they provide highly precise 3D point clouds. LiDAR is also robust for low-light scenarios at night-time or…
Optical Flow augmented Semantic Segmentation networks for Automated Driving
Hazem Rashed, Senthil Yogamani, Ahmad El-Sallab +2
Motion is a dominant cue in automated driving systems. Optical flow is typically computed to detect moving objects and to estimate depth using triangulation. In this paper, our mot…