3 citations · 3 across the 18 of their papers we have counts for
19 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…
Optimising CSRNet with parameter-free attention mechanisms for crowd counting in public transport
Aida Rostamza, Enrico Del Re, Joshua Cherian Varughese +1
Occupancy estimation and crowd counting are critical tasks in designing smart and efficient public transport vehicles. Given that public transport loading can vary from sparse to c…
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…
On Improving Multimodal Pedestrian Trajectory Prediction with CVAE: A Study on Benchmark and Robot Data
Yuzhou Liu, Cristina Olaverri-Monreal
Accurate pedestrian trajectory prediction is crucial for autonomous systems operating in complex environments, such as modular buses and delivery robots in suburban or semi-structu…
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…
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…
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…
Want a Ride? Attitudes Towards Autonomous Driving and Behavior in Autonomous Vehicles
Enrico Del Re, Leonie Sauer, Marco Polli +1
Research conducted previously has focused on either attitudes toward or behaviors associated with autonomous driving. In this paper, we bridge these two dimensions by exploring how…
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…
Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework
Enrico Del Re, Amirhesam Aghanouri, Cristina Olaverri-Monreal
As autonomous vehicle technology advances, the precise assessment of safety in complex traffic scenarios becomes crucial, especially in mixed-vehicle environments where human perce…
Facial Features Integration in Last Mile Delivery Robots
Delgermaa Gankhuyag, Stephanie Groiß, Lena Schwamberger +2
Delivery services have undergone technological advancements, with robots now directly delivering packages to recipients. While these robots are designed for efficient functionality…
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…