Publicacións nas que colabora con David Fernández Llorca (75)

2024

  1. Attribute annotation and bias evaluation in visual datasets for autonomous driving

    Journal of Big Data, Vol. 11, Núm. 1

2023

  1. Goal-Oriented Transformer to Predict Context-Aware Trajectories in Urban Scenarios †

    Engineering Proceedings, Vol. 39, Núm. 1

  2. Human-Vehicle Interaction for Autonomous Vehicles in Crosswalk Scenarios: Field Experiments with Pedestrians and Passengers

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

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

    Applied Intelligence, Vol. 53, Núm. 7, pp. 8370-8388

2022

  1. Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations

    IEEE Intelligent Transportation Systems Magazine, Vol. 14, Núm. 6, pp. 77-93

2021

  1. Are We Ready for Accurate and Unbiased Fine-Grained Vehicle Classification in Realistic Environments?

    IEEE Access, Vol. 9, pp. 116338-116355

  2. CAPformer: Pedestrian crossing action prediction using transformer

    Sensors, Vol. 21, Núm. 17

  3. Predicting vehicles trajectories in urban scenarios with transformer networks and augmented information

    IEEE Intelligent Vehicles Symposium, Proceedings

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

    IEEE Access, Vol. 9, pp. 119454-119465

2020

  1. 3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns for road scene interpretation

    IEEE Intelligent Vehicles Symposium, Proceedings

  2. CNNs for Fine-Grained Car Model Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. License Plate Corners Localization Using CNN-Based Regression

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features

    IEEE Intelligent Vehicles Symposium, Proceedings

  5. Sensors and Sensing for Intelligent Vehicles

    Sensors (Basel, Switzerland)

  6. Sensors and Sensing for Intelligent Vehicles

    Sensors (Switzerland)

  7. Simple Baseline for Vehicle Pose Estimation: Experimental Validation

    IEEE Access, Vol. 8, pp. 132539-132550

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

    IEEE Intelligent Vehicles Symposium, Proceedings

  9. 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

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

    2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

  2. 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