2 citations · 5 across the 10 of their papers we have counts for
10 papers
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models
Augusto Luis Ballardini, Miguel Ángel Sotelo
Achieving full automation in self-driving vehicles remains a challenge, especially in dynamic urban environments where navigation requires real-time adaptability. Existing systems…
Optimal Behavior Planning for Implicit Communication using a Probabilistic Vehicle-Pedestrian Interaction Model
Markus Amann, Malte Probst, Raphael Wenzel +2
In interactions between automated vehicles (AVs) and crossing pedestrians, modeling implicit vehicle communication is crucial. In this work, we present a combined prediction and pl…
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset
Melo Castillo Angie Nataly, Martin Serrano Sergio, Salinas Carlota +1
Pedestrian detection is a critical task in autonomous driving, aimed at enhancing safety and reducing risks on the road. Over recent years, significant advancements have been made…
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles
Sergio Martín Serrano, Óscar Méndez Blanco, Stewart Worrall +2
Understanding cultural backgrounds is crucial for the seamless integration of autonomous driving into daily life as it ensures that systems are attuned to diverse societal norms an…
Behavioural gap assessment of human-vehicle interaction in real and virtual reality-based scenarios in autonomous driving
Sergio. Martín Serrano, Rubén Izquierdo, Iván García Daza +2
In the field of autonomous driving research, the use of immersive virtual reality (VR) techniques is widespread to enable a variety of studies under safe and controlled conditions.…
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models
Mohamed Manzour Hussien, Angie Nataly Melo, Augusto Luis Ballardini +3
Prediction of road users' behaviors in the context of autonomous driving has gained considerable attention by the scientific community in the last years. Most works focus on predic…
Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario
Rubén Izquierdo, Javier Alonso, Ola Benderius +2
This study presents the outcomes of empirical investigations pertaining to human-vehicle interactions involving an autonomous vehicle equipped with both internal and external Human…
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference
M. Manzour, A. Ballardini, R. Izquierdo +1
Prediction of vehicle lane change maneuvers has gained a lot of momentum in the last few years. Some recent works focus on predicting a vehicle's intention by predicting its trajec…
Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction
Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo
In the context of autonomous driving, pedestrian crossing prediction is a key component for improving road safety. Presently, the focus of these predictions extends beyond achievin…
Human-vehicle interaction for autonomous vehicles in crosswalk scenarios: Field experiments with pedestrians and passengers
R. Izquierdo, S. Martín, J. Alonso +3
This paper presents the results of real-world testing of human-vehicle interactions with an autonomous vehicle equipped with internal and external Human Machine Interfaces (HMIs) i…