9 papers
Reinterpreting Safety Thresholds as Neuron Spiking Thresholds
Enrico Del Re, Mohamed Sabry, Cristina Olaverri-Monreal
Surrogate Safety Measures (SSMs) are extensively utilised in the evaluation of traffic risk in automated driving contexts. However, the majority of SSM-based evaluations employ fix…
In-Vehicle Human-Machine Interface to Support Drivers in Conditionally Automated Platooning
Anna-Lena Hager, Mohamed Sabry, Walter Morales-Alvarez +2
Vehicle platooning enables close-gap driving and offers potential benefits for traffic efficiency and safety. In conditionally automated platooning, drivers remain responsible for…
A Cost-Effective and Climate-Resilient Air Pressure System for Rain Effect Reduction on Automated Vehicle Cameras
Mohamed Sabry, Joseba Gorospe, Cristina Olaverri-Monreal
Recent advances in automated vehicles have focused on improving perception performance under adverse weather conditions; however, research on physical hardware solutions remains li…
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…
Machine Learning-Based Performance Evaluation of a Solar-Powered Hydrogen Fuel Cell Hybrid in a Radio-Controlled Electric Vehicle
Amirhesam Aghanouri, Mohamed Sabry, Joshua Cherian Varughese +1
This paper presents an experimental investigation and performance evaluation of a hybrid electric radio-controlled car powered by a Nickel-Metal Hydride battery combined with a ren…
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…