23 citations · 83 across the 14 of their papers we have counts for
16 papers
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar +4
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…
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Sambit Mohapatra, Mona Hodaei, Senthil Yogamani +5
Moving object detection and segmentation is an essential task in the Autonomous Driving pipeline. Detecting and isolating static and moving components of a vehicle's surroundings a…
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Hazem Rashed, Mariam Essam, Maha Mohamed +2
Detection of moving objects is a very important task in autonomous driving systems. After the perception phase, motion planning is typically performed in Bird's Eye View (BEV) spac…
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
Moving object Detection (MOD) is a critical task in autonomous driving as moving agents around the ego-vehicle need to be accurately detected for safe trajectory planning. It also…
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
Varun Ravi Kumar, Senthil Yogamani, Hazem Rashed +5
Surround View fisheye cameras are commonly deployed in automated driving for 360° near-field sensing around the vehicle. This work presents a multi-task visual perception network o…
INSTA-YOLO: Real-Time Instance Segmentation
Eslam Mohamed, Abdelrahman Shaker, Ahmad El-Sallab +1
Instance segmentation has gained recently huge attention in various computer vision applications. It aims at providing different IDs to different object of the scene, even if they…