3 citations · 3 across the 18 of their papers we have counts for
7 papers · 1 filter
Tensor-Based Self-Calibration of Cameras via the TrifocalCalib Method
Gregory Schroeder, Mohamed Sabry, Cristina Olaverri-Monreal
Estimating camera intrinsic parameters without prior scene knowledge is a fundamental challenge in computer vision. This capability is particularly important for applications such…
A LiDAR-Driven Fallback Longitudinal Controller for Safer Following in Sudden Braking Scenarios
Mohamed Sabry, Enrico Del Re, Walter Morales-Alvarez +1
Adaptive Cruise Control has seen significant advancements, with Collaborative Adaptive Cruise Control leveraging Vehicle-to-Vehicle communication to enhance coordination and stabil…
Understanding Visually Impaired Tramway Passengers Interaction with Public Transport Systems
Dominik Mimra, Dominik Kaar, Enrico Del Re +4
Designing inclusive public transport services is crucial to developing modern, barrier-free smart city infrastructure. This research contributes to the design of inclusive public t…
ClearLines - Camera Calibration from Straight Lines
Gregory Schroeder, Mohamed Sabry, Cristina Olaverri-Monreal
The problem of calibration from straight lines is fundamental in geometric computer vision, with well-established theoretical foundations. However, its practical applicability rema…
Evaluating Pedestrian Risks in Shared Spaces Through Autonomous Vehicle Experiments on a Fixed Track
Enrico Del Re, Novel Certad, Joshua Varughese +1
The majority of research on safety in autonomous vehicles has been conducted in structured and controlled environments. However, there is a scarcity of research on safety in unregu…
V2P Collision Warnings for Distracted Pedestrians: A Comparative Study with Traditional Auditory Alerts
Novel Certad, Enrico Del Re, Joshua Varughese +1
This study assesses a Vehicle-to-Pedestrian (V2P) collision warning system compared to conventional vehicle-issued auditory alerts in a real-world scenario simulating a vehicle on…
Shadow Erosion and Nighttime Adaptability for Camera-Based Automated Driving Applications
Mohamed Sabry, Gregory Schroeder, Joshua Varughese +1
Enhancement of images from RGB cameras is of particular interest due to its wide range of ever-increasing applications such as medical imaging, satellite imaging, automated driving…