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Luis M. Bergasa

Luis M. Bergasa

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
47
Citations
9476
World Ranking
6463
National Ranking
83

Electronics and Electrical Engineering

D-Index
46
Citations
9283
World Ranking
3359
National Ranking
53

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Luis M. Bergasa is affiliated with the University of Alcalá in Spain. Their research primarily spans the fields of Engineering and Computer Science, with notable contributions in subfields such as Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Control and Systems Engineering, and Artificial Intelligence.

The main topics of their work include Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Traffic Control and Management, Visual Attention and Saliency Detection, and Advanced Image and Video Retrieval Techniques.

Among recent publications, key papers include:

  • "Deep reinforcement learning based control for Autonomous Vehicles in CARLA," 2022, Multimedia Tools and Applications
  • "Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator," 2022, Sensors
  • "HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring," 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)
  • "A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework," 2020, Sensors
  • "How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline," 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)

The frequent co-authors they have collaborated with include Rafael Barea, Elena López, Carlos Gómez-Huélamo, Javier Araluce, and Manuel Ocaña.

Their work has appeared repeatedly in several publication venues, notably Sensors, arXiv (Cornell University), Multimedia Tools and Applications, the 2022 IEEE Intelligent Vehicles Symposium (IV), and IEEE Transactions on Intelligent Transportation Systems.

Luis M. Bergasa has also contributed to book publications, including a title published by Springer Nature: "Advances in Physical Agents II" (2020).

Best Publications

  • ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

    Eduardo Romera;Jose M. Alvarez;Luis M. Bergasa;Roberto Arroyo

  • Real-time system for monitoring driver vigilance

    L.M. Bergasa;J. Nuevo;M.A. Sotelo;R. Barea

  • Combination of Feature Extraction Methods for SVM Pedestrian Detection

    I.P. Alonso;D.F. Llorca;M.A. Sotelo;L.M. Bergasa

  • DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors

    Luis M. Bergasa;Daniel Almeria;Javier Almazan;J. Javier Yebes

  • Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback

    Alberto Rodríguez;J. Javier Yebes;Pablo F. Alcantarilla;Luis Miguel Bergasa

  • Need data for driver behaviour analysis? Presenting the public UAH-DriveSet

    Eduardo Romera;Luis M. Bergasa;Roberto Arroyo

  • On combining visual SLAM and dense scene flow to increase the robustness of localization and mapping in dynamic environments

    Pablo F. Alcantarilla;Jose J. Yebes;Javier Almazan;Luis M. Bergasa

  • A Color Vision-Based Lane Tracking System for Autonomous Driving on Unmarked Roads

    Miguel Angel Sotelo;Francisco Javier Rodriguez;Luis Magdalena;Luis Miguel Bergasa

  • Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls

    Roberto Arroyo;J. Javier Yebes;Luis M. Bergasa;Iván G. Daza

  • Vision-based drowsiness detector for real driving conditions

    I. Garcia;S. Bronte;L. M. Bergasa;J. Almazan

  • Efficient ConvNet for real-time semantic segmentation

    Eduardo Romera;Jose M. Alvarez;Luis M. Bergasa;Roberto Arroyo

  • Text Detection and Recognition on Traffic Panels From Street-Level Imagery Using Visual Appearance

    Alvaro Gonzalez;Luis M. Bergasa;J. Javier Yebes

  • Real-Time Hierarchical Outdoor SLAM Based on Stereovision and GPS Fusion

    D. Schleicher;L.M. Bergasa;M. Ocana;R. Barea

  • Fog detection system based on computer vision techniques

    S. Bronte;L. M. Bergasa;P. F. Alcantarilla

  • Unifying Terrain Awareness for the Visually Impaired through Real-Time Semantic Segmentation.

    Kailun Yang;Kaiwei Wang;Luis M Bergasa;Eduardo Romera

  • Electro-Oculographic Guidance of a Wheelchair Using Eye Movements Codification

    Rafael Barea;Luciano Boquete;Luis M. Bergasa;Elena López

  • EOG guidance of a wheelchair using neural networks

    R. Barea;L. Boquete;M. Mazo;E. Lopez

  • Fusion and binarization of CNN features for robust topological localization across seasons

    Roberto Arroyo;Pablo F. Alcantarilla;Luis M. Bergasa;Eduardo Romera

  • Towards life-long visual localization using an efficient matching of binary sequences from images

    Roberto Arroyo;Pablo F. Alcantarilla;Luis M. Bergasa;Eduardo Romera

  • Unsupervised and adaptive Gaussian skin-color model

    L.M. Bergasa;M. Mazo;A. Gardel;M.A. Sotelo

  • Bridging the Day and Night Domain Gap for Semantic Segmentation

    Eduardo Romera;Luis M. Bergasa;Kailun Yang;Jose M. Alvarez

  • Real-time system for monitoring driver vigilance

    L.M. Bergasa;J. Nuevo

Frequent Co-Authors

Miguel Angel Sotelo
Miguel Angel Sotelo University of Alcalá
Manuel Mazo
Manuel Mazo University of Alcalá
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
Vicente Milanés
Vicente Milanés Renault (France)
Jonas Sjöberg
Jonas Sjöberg Chalmers University of Technology
Eduardo Nebot
Eduardo Nebot University of Sydney
Qi Wang
Qi Wang Northwestern Polytechnical University
Andrew J. Davison
Andrew J. Davison Imperial College London
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia

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