Search Results - "Llorca, D."

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  1. 1

    SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs by Carrasco, S., Llorca, D. Fernandez, Sotelo, M. A.

    “…Autonomous vehicles navigate in dynamically changing environments under a wide variety of conditions, being continuously influenced by surrounding objects. Mod…”
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    Conference Proceeding
  2. 2

    Hierarchical camera auto-calibration for traffic surveillance systems by Álvarez, S., Llorca, D.F., Sotelo, M.A.

    Published in Expert systems with applications (01-03-2014)
    “…•Camera self-calibration procedure with 5 levels of hierarchy and 12 different cases.•Completely autonomous system, independent of the position of the…”
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    Journal Article
  3. 3

    RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features by Lorenzo, J., Parra, I., Wirth, F., Stiller, C., Llorca, D. F., Sotelo, M. A.

    “…Pedestrian crossing prediction is a crucial task for autonomous driving. Numerous studies show that an early estimation of the pedestrian's intention can…”
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    Conference Proceeding
  4. 4

    Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information by Quintanar, A., Fernandez-Llorca, D., Parra, I., Izquierdo, R., Sotelo, M. A.

    “…Understanding the behavior of road users is of vital importance for the development of trajectory prediction systems. In this context, the latest advances have…”
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    Conference Proceeding
  5. 5

    Recognizing individuals in groups in outdoor environments combining stereo vision, RFID and BLE by Llorca, D. F., Quintero, R., Parra, I., Sotelo, M. A.

    Published in Cluster computing (01-03-2017)
    “…Vision-based people localization systems in outdoor environments can be enhanced by means of radio frequency identification technologies. This combination has…”
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    Journal Article
  6. 6

    Stereo regions-of-interest selection for pedestrian protection: A survey by Llorca, D.F., Sotelo, M.A., Hellín, A.M., Orellana, A., Gavilán, M., Daza, I.G., Lorente, A.G.

    “…► Survey of stereo-based region of interest pedestrian detection approaches. ► Exhaustive review of 3D representation, camera pose, road surface modeling and…”
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    Journal Article
  7. 7

    The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes? by Quintanar, A., Izquierdo, R., Parra, I., Fernandez-Llorca, D., Sotelo, M. A.

    “…While driving on highways, every driver tries to be aware of the behavior of surrounding vehicles, including possible emergency braking, evasive maneuvers…”
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    Conference Proceeding
  8. 8
  9. 9

    Semi-Automatic High-Accuracy Labelling Tool for Multi-Modal Long-Range Sensor Dataset by Izquierdo, R., Parra, I., Salinas, C., Fernandez-Llorca, D., Sotelo, M. A.

    “…Many research works have contributed to achieve SAE levels 3 and 4 in some pre-defined areas under certain restrictions. A deeper scene understanding and…”
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    Conference Proceeding
  10. 10

    3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns for road scene interpretation by Hernandez, A., Woo, S., Corrales, H., Parra, I., Kim, E., Llorca, D. F., Sotelo, M. A.

    “…Road detection and segmentation is a crucial task in computer vision for safe autonomous driving. With this in mind a new net architecture (3D-DEEP) and its…”
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    Conference Proceeding
  11. 11

    Curvature-based curb detection method in urban environments using stereo and laser by Fernandez, C., Llorca, D. F., Stiller, C., Sotelo, M. A.

    “…This paper addresses the problem of curb detection for ADAS or autonomous navigation in urban scenarios. The algorithm is based on clouds of 3D points. It is…”
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    Conference Proceeding
  12. 12

    An Experimental Study on Pitch Compensation in Pedestrian-Protection Systems for Collision Avoidance and Mitigation by Llorca, D.R., Sotelo, M.A., Parra, I., Naranjo, J.E., Gavilan, M., Alvarez, S.

    “…This paper describes an improved stereovision system for the anticipated detection of car-to-pedestrian accidents. An improvement of the previous versions of…”
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    Journal Article
  13. 13

    Automatic LightBeam Controller for driver assistance by Alcantarilla, P. F., Bergasa, L. M., Jiménez, P., Parra, I., Llorca, D. F., Sotelo, M. A., Mayoral, S. S.

    Published in Machine vision and applications (01-09-2011)
    “…In this article, we present an effective system for detecting vehicles in front of a camera-assisted vehicle (preceding vehicles traveling in the same…”
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    Journal Article
  14. 14

    Positive margins in excised dermatofibrosarcoma protuberans: a study of 58 cases treated with slow-Mohs surgery by Serra-Guillén, C., Llombart, B., Nagore, E., Requena, C., Traves, V., Llorca, D., Kindem, S., Alcalá, R., Guillén, C., Sanmartín, O.

    “…Background Dermatofibrosarcoma protuberans (DFSP) is characterized by unpredictable subclinical extension, meaning that positive margins are frequently…”
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    Journal Article
  15. 15

    Human-Vehicle Interaction for Autonomous Vehicles in Crosswalk Scenarios: Field Experiments with Pedestrians and Passengers by Izquierdo, R., Martin, S., Alonso, J., Parra, I., Sotelo, M. A., Fernaadez-Llorca, D.

    “…This paper presents the results of real-world testing of human-vehicle interactions with an autonomous vehicle equipped with internal and external Human…”
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    Conference Proceeding
  16. 16

    Pedestrian intention recognition by means of a Hidden Markov Model and body language by Quintero, R., Parra, I., Lorenzo, J., Fernandez-Llorca, D., Sotelo, M. A.

    “…According to several reports published by world-wide organisations, thousands of pedestrians die on road accidents every year. Due to this fact, vehicular…”
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    Conference Proceeding
  17. 17

    Real-time vision-based blind spot warning system: Experiments with motorcycles in daytime/nighttime conditions by Fernández, C., Llorca, D. F., Sotelo, M. A., Daza, I. G., Hellín, A. M., Álvarez, S.

    “…This paper describes a real-time vision-based blind spot warning system that has been specially designed for motorcycles detection in both daytime and…”
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    Journal Article
  18. 18

    Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM by Izquierdo, R., Quintanar, A., Parra, I., Fernandez-Llorca, D., Sotelo, M. A.

    “…This paper describes preliminary results of two different methodologies used to predict lane changes of surrounding vehicles. These methodologies are deep…”
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    Conference Proceeding
  19. 19

    Vehicle logo recognition in traffic images using HOG features and SVM by Llorca, D. F., Arroyo, R., Sotelo, M. A.

    “…In this paper a new vehicle logo recognition approach is presented using Histograms of Oriented Gradients (HOG) and Support Vector Machines (SVM). The system…”
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    Conference Proceeding
  20. 20

    Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving by Serrano, S. Martin, Izquierdo, R., Daza, I. Garcia, Sotelo, M. A., Llorca, D. Fernandez

    “…This paper presents the results of tests of interactions between real humans and simulated vehicles in a virtual scenario. Human activity is inserted into the…”
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    Conference Proceeding