11 citations · 19 across the 5 of their papers we have counts for
6 papers · 1 filter
Robust Real-Time Pedestrian Detection on Embedded Devices
Mohamed Afifi, Yara Ali, Karim Amer +2
Detection of pedestrians on embedded devices, such as those on-board of robots and drones, has many applications including road intersection monitoring, security, crowd monitoring…
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
Yara Ali Alnaggar, Mohamed Afifi, Karim Amer +1
Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms. Furthermore, given the increasing deployment of LiDAR sensors…
Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2
Mohamed Afifi, Yara Ali, Karim Amer +2
Detection of pedestrians in aerial imagery captured by drones has many applications including intersection monitoring, patrolling, and surveillance, to name a few. However, the pro…
Drone Path-Following in GPS-Denied Environments using Convolutional Networks
M. Samy, K. Amer, M. Shaker +1
his paper presents a simple approach for drone navigation to follow a predetermined path using visual input only without reliance on a Global Positioning System (GPS). A Convolutio…
Deep Convolutional Neural Network-Based Autonomous Drone Navigation
K. Amer, M. Samy, M. Shaker +1
This paper presents a novel approach for aerial drone autonomous navigation along predetermined paths using only visual input form an onboard camera and without reliance on a Globa…
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation
Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar
The prevalence of skin melanoma is rapidly increasing as well as the recorded death cases of its patients. Automatic image segmentation tools play an important role in providing st…