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20242026
most citedAutomated Vehicle Driver Monitoring Dataset from Real-World Scenarios

3 citations · 3 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2024

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…

cs.RO2024★ 3 cited

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.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…