2 citations · 3 across the 11 of their papers we have counts for
11 papers
Assessing Localization Technologies for Pedestrian Collision Avoidance
Joshua Varughese, Joseba Gorospe, Novel Certad +1
Robust pedestrian safety is crucial to the next-generation of intelligent transportation systems. Such systems rely on active pedestrian localization and predictive collision alert…
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…
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…
Inadequate contrast ratio of road markings as an indicator for ADAS failure
Novel Certad, Cristina Olaverri-Monreal, Friedrich Wiesinger +1
Road markings were reported as critical road safety features, equally needed for both human drivers and for machine vision technologies utilised by advanced driver assistance syste…
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…
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars
Walter Morales-Alvarez, Novel Certad, Alina Roitberg +2
For driver observation frameworks, clean datasets collected in controlled simulated environments often serve as the initial training ground. Yet, when deployed under real driving c…
Extraction of Road Users' Behavior From Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems
Novel Certad, Sebastian Tschernuth, Cristina Olaverri-Monreal
In this work, we utilized the methodology outlined in the IEEE Standard 2846-2022 for "Assumptions in Safety-Related Models for Automated Driving Systems" to extract information on…
JKU-ITS Automobile for Research on Autonomous Vehicles
Novel Certad, Walter Morales-Alvarez, Georg Novotny +1
In this paper, we present our brand-new platform for Automated Driving research. The chosen vehicle is a RAV4 hybrid SUV from TOYOTA provided with exteroceptive sensors such as a m…
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…
Automated Driving Systems: Impact of Haptic Guidance on Driving Performance after a Take Over Request
Walter Morales-Alvarez, Novel Certad, Hadj. Hamma Tadjine +1
In conditional automation, a response from the driver is expected when a take over request is issued due to unexpected events, emergencies, or reaching the operational design domai…