5 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
Traffic Accident Risk Forecasting using Contextual Vision Transformers
Khaled Saleh, Artur Grigorev, Adriana-Simona Mihaita
Recently, the problem of traffic accident risk forecasting has been getting the attention of the intelligent transportation systems community due to its significant impact on traff…
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks
Khaled Saleh
Forecasting the trajectory of pedestrians in shared urban traffic environments is still considered one of the challenging problems facing the development of autonomous vehicles (AV…
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images
Mohammed Hossny, Khaled Saleh, Mohammed Attia +2
LiDAR data is becoming increasingly essential with the rise of autonomous vehicles. Its ability to provide 360deg horizontal field of view of point cloud, equips self-driving vehic…
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data
Khaled Saleh, Ahmed Abobakr, Mohammed Attia +3
Point cloud data from 3D LiDAR sensors are one of the most crucial sensor modalities for versatile safety-critical applications such as self-driving vehicles. Since the annotations…
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Understanding the behaviors and intentions of humans are one of the main challenges autonomous ground vehicles still faced with. More specifically, when it comes to complex environ…