collaborators

5 papers

cs.HC2026

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…

eess.SY2026

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…

cs.RO2025

Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios

Mohamed Sabry, Walter Morales-Alvarez, Cristina Olaverri-Monreal

From SAE Level 3 of automation onwards, drivers are allowed to engage in activities that are not directly related to driving during their travel. However, in level 3, a misundersta…

cs.RO2025

Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset

Novel Certad, Enrico del Re, Helena Korndörfer +6

The acquisition and analysis of high-quality sensor data constitute an essential requirement in shaping the development of fully autonomous driving systems. This process is indispe…

cs.RO2025

Road Markings Segmentation from LIDAR Point Clouds using Reflectivity Information

Novel Certad, Walter Morales-Alvarez, Cristina Olaverri-Monreal

Lane detection algorithms are crucial for the development of autonomous vehicles technologies. The more extended approach is to use cameras as sensors. However, LIDAR sensors can c…