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Fernández Llorca, David

Automática / Universidad de Alcalá

Actividades

Vehicle trajectory prediction on highways using bird eye view representations and deep learning

  • Izquierdo, R.
  • Quintanar, Á.
  • Llorca, D.F.
  • Daza, I.G.
  • Hernández, N.
  • Parra, I.
  • Sotelo, M.Á.
... Ver más Contraer

Applied Intelligence (p. 8370-8388) - 2023

Editor: Springer

10.1007/s10489-022-03961-y Ver en origen

  • ISSN/ISBN 1573-7497

Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain

  • Fernandez-Llorca, D.
  • Gomez, E.

Computer (p. 29-39) - 2023

Editor: IEEE Computer Society

10.1109/mc.2022.3212091 Ver en origen

  • ISSN/ISBN 1558-0814

Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof

  • Llorca, D.F.
  • Charisi, V.
  • Hamon, R.
  • Sánchez, I.
  • Gómez, E.

Journal of Artificial Intelligence Research (p. 613-644) - 2023

Editor: AI Access Foundation

10.1613/jair.1.14565 Ver en origen

  • ISSN/ISBN 1076-9757

Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs

  • Carrasco Limeros, S.
  • Majchrowska, S.
  • Johnander, J.
  • Petersson, C.
  • Sotelo, M.Á.
  • Fernández Llorca, D.

CAAI Transactions on Intelligence Technology - 2023

Editor: John Wiley and Sons Inc

10.1049/cit2.12244 Ver en origen

  • ISSN/ISBN 2468-2322

Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles

  • Biparva, M.
  • Fernández-Llorca, D.
  • Gonzalo, R.I.
  • Tsotsos, J.K.

IEEE Transactions on Intelligent Vehicles (p. 569-578) - 2022

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/tiv.2022.3164507 Ver en origen

  • ISSN/ISBN 2379-8858

Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations

  • Gonzalo, R.I.
  • Maldonado, C.S.
  • Ruiz, J.A.
  • Alonso, I.P.
  • Llorca, D.F.
  • Sotelo, M.A.

IEEE Intelligent Transportation Systems Magazine (p. 77-93) - 2022

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/mits.2022.3170649 Ver en origen

  • ISSN/ISBN 1941-1197

Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving

  • Daza, I.G.
  • Izquierdo, R.
  • Martínez, L.M.
  • Benderius, O.
  • Llorca, D.F.

Applied Intelligence - 2022

Editor: Springer

10.1007/s10489-022-04148-1 Ver en origen

  • ISSN/ISBN 1573-7497

CAPformer: Pedestrian crossing action prediction using transformer

  • Lorenzo, J.
  • Alonso, I.P.
  • Izquierdo, R.
  • Ballardini, A.L.
  • Saz, Á.H.
  • Llorca, D.F.
  • Sotelo, M.Á.
... Ver más Contraer

Sensors - 2021

Editor: MDPI AG

10.3390/s21175694 Ver en origen

  • ISSN/ISBN 1424-8220

Vehicle Lane Change Prediction on Highways Using Efficient Environment Representation and Deep Learning

  • Izquierdo, R.
  • Quintanar, A.
  • Lorenzo, J.
  • Garcia-Daza, I.
  • Parra, I.
  • Fernandez-Llorca, D.
  • Sotelo, M.A.
... Ver más Contraer

IEEE Access (p. 119454-119465) - 2021

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/access.2021.3106692 Ver en origen

  • ISSN/ISBN 2169-3536

Personal Rapid Transport System Compatible with Current Railways and Metros Infrastructure

  • Diez-Jimenez, E.
  • Fernandez-Munoz, M.
  • Oliva-Dominguez, R.
  • Fernandez-Llorca, D.
  • Angel Sotelo, M.

IEEE Transactions on Intelligent Transportation Systems (p. 2891-2901) - 2021

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/tits.2020.2977387 Ver en origen

  • ISSN/ISBN 1558-0016

Este/a investigador/a no tiene libros.

Capítulo XVII. Hacia un marco regulatorio holístico de la Inteligencia Artificial fiable en la Unión Europea:: una perspectiva científico-técnica

  • Emilia Gómez
  • Isabelle Claude Hupont Torres
  • Ignacio Sánchez
  • David Fernández Llorca

Inteligencia artificial y sector público :: retos, límites y medios (p. 727-742) - 2023

Editor: Tirant lo Blanch

  • ISSN/ISBN 978-84-1169-063-8

Experiencia del uso de modelos de competición en el aprendizaje práctico

  • David Fernández Llorca

La creación de espacios comunes de aprendizaje: experiencias de innovación (p. 113-121) - 2011

Editor: Editorial Universidad de Alcalá

  • ISSN/ISBN 978-84-8138-915-9

The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes?

  • Quintanar, A.
  • Izquierdo, R.
  • Parra, I.
  • Fernandez-Llorca, D.
  • Sotelo, M.A.

IEEE Intelligent Vehicles Symposium, Proceedings (p. 45-50) - 2020

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/iv47402.2020.9304640 Ver en origen

License Plate Corners Localization Using CNN-Based Regression

  • Llorca, D.F.
  • Corrales, H.
  • Parra, I.
  • Rentero, M.
  • Izquierdo, R.
  • Hernández-Saz, A.
  • García-Daza, I.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 113-120) - 2020

Editor: Springer

10.1007/978-3-030-45096-0_14 Ver en origen

  • ISSN/ISBN 1611-3349

Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles

  • Fernández-Llorca, D.
  • Biparva, M.
  • Izquierdo-Gonzalo, R.
  • Tsotsos, J.K.

2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 - 2020

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc45102.2020.9294326 Ver en origen

  • ISSN/ISBN 9781728141497

Performance analysis of Vehicle-to-Vehicle communications for critical tasks in autonomous driving

  • Parra, I.
  • Corrales, H.
  • Hernandez, N.
  • Vigre, S.
  • Llorca, D.F.
  • Sotelo, M.A.

2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (p. 195-200) - 2019

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2019.8917302 Ver en origen

  • ISSN/ISBN 9781538670248

WiFi-based urban localisation using CNNs

  • Hernandez, N.
  • Corrales, H.
  • Parra, I.
  • Rentero, M.
  • Llorca, D.F.
  • Sotelo, M.A.

2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (p. 1270-1275) - 2019

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2019.8917290 Ver en origen

  • ISSN/ISBN 9781538670248

Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM

  • Izquierdo, R.
  • Quintanar, A.
  • Parra, I.
  • Fernandez-Llorca, D.
  • Sotelo, M.A.

2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (p. 3657-3662) - 2019

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2019.8917331 Ver en origen

  • ISSN/ISBN 9781538670248

The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs

  • Izquierdo, R.
  • Quintanar, A.
  • Parra, I.
  • Fernandez-Llorca, D.
  • Sotelo, M.A.

2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (p. 3114-3121) - 2019

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2019.8917433 Ver en origen

  • ISSN/ISBN 9781538670248

Multi-Radar Self-Calibration Method using High-Definition Digital Maps for Autonomous Driving

  • Izquierdo, R.
  • Parra, I.
  • Fernández-Llorca, D.
  • Sotelo, M.A.

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (p. 2197-2202) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2018.8569272 Ver en origen

  • ISSN/ISBN 9781728103235

Semi-Automatic High-Accuracy Labelling Tool for Multi-Modal Long-Range Sensor Dataset

  • Izquierdo, R.
  • Parra, I.
  • Salinas, C.
  • Fernández-Llorca, D.
  • Sotelo, M.A.

IEEE Intelligent Vehicles Symposium, Proceedings (p. 1786-1791) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/ivs.2018.8500672 Ver en origen

  • ISSN/ISBN 9781538644522

Deep fully convolutional networks with random data augmentation for enhanced generalization in road detection

  • Munoz-Bulnes, J.
  • Fernandez, C.
  • Parra, I.
  • Fernandez-Llorca, D.
  • Sotelo, M.A.

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (p. 366-371) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/itsc.2017.8317901 Ver en origen

  • ISSN/ISBN 9781538615256

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 24/04/24 13:12