David
Fernández Llorca
Catedrático/a de Universidad
Miguel Ángel
Sotelo Vázquez
Catedrático/a de Universidad
Publications by the researcher in collaboration with Miguel Ángel Sotelo Vázquez (101)
2024
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Behavioural Gap Assessment of Human-Vehicle Interaction in Real and Virtual Reality-Based Scenarios in Autonomous Driving
International Journal of Human-Computer Interaction
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Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 3, pp. 557-572
2023
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Human-Vehicle Interaction for Autonomous Vehicles in Crosswalk Scenarios: Field Experiments with Pedestrians and Passengers
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Realistic Pedestrian Behaviour in the CARLA Simulator Using VR and Mocap
Communications in Computer and Information Science
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Vehicle trajectory prediction on highways using bird eye view representations and deep learning
Applied Intelligence, Vol. 53, Núm. 7, pp. 8370-8388
2022
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Insertion of Real Agents Behaviors in CARLA Autonomous Driving Simulator
International Conference on Computer-Human Interaction Research and Applications, CHIRA - Proceedings
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Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations
IEEE Intelligent Transportation Systems Magazine, Vol. 14, Núm. 6, pp. 77-93
2021
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CAPformer: Pedestrian crossing action prediction using transformer
Sensors, Vol. 21, Núm. 17
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Personal Rapid Transport System Compatible with Current Railways and Metros Infrastructure
IEEE Transactions on Intelligent Transportation Systems, Vol. 22, Núm. 5, pp. 2891-2901
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Predicting vehicles trajectories in urban scenarios with transformer networks and augmented information
IEEE Intelligent Vehicles Symposium, Proceedings
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SCOUT: Socially-consistent and understandable graph attention network for trajectory prediction of vehicles and VRUs
IEEE Intelligent Vehicles Symposium, Proceedings
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Vehicle Lane Change Prediction on Highways Using Efficient Environment Representation and Deep Learning
IEEE Access, Vol. 9, pp. 119454-119465
2020
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3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns for road scene interpretation
IEEE Intelligent Vehicles Symposium, Proceedings
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RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
IEEE Intelligent Vehicles Symposium, Proceedings
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The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes?
IEEE Intelligent Vehicles Symposium, Proceedings
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Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs
2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
2019
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Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
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Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition
IEEE Transactions on Intelligent Transportation Systems, Vol. 20, Núm. 5, pp. 1803-1814
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Performance analysis of Vehicle-to-Vehicle communications for critical tasks in autonomous driving
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
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The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019