Luis Miguel Bergasa

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 78

Top Venues

ITSC

Sensors

WAF

Publications

Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis Miguel Bergasa
Efficient Baselines for Motion Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Ricardo Pizarro, Luis Miguel Bergasa, Luis Baumela, José Miguel Buenaposada, Rafael Barea
DRVMon-VM: Distracted driver recognition using large pre-trained video transformers. IV (2024)
Ricardo Pizarro, Roberto Valle, Luis Miguel Bergasa, José Miguel Buenaposada, Luis Baumela
Pose-guided multi-task video transformer for driver action recognition. CoRR (2024)
Santiago Montiel-Marín, Angel Llamazares, Miguel Antunes, Pedro A. Revenga, Luis Miguel Bergasa
Point Cloud Painting for 3D Object Detection with Camera and Automotive 3+1D RADAR Fusion. Sensors 24 (4) (2024)
Javier Araluce, Luis Miguel Bergasa, Manuel Ocaña, Angel Llamazares, María Elena López Guillén
Leveraging Driver Attention for an End-to-End Explainable Decision-Making From Frontal Images. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López Guillén, Felipe Arango, Pedro A. Revenga, Luis Miguel Bergasa
Decision Making for Autonomous Driving Stack: Shortening the Gap from Simulation to Real-World Implementations. IV (2024)
Pablo Pardo-Decimavilla, Luis Miguel Bergasa, Santiago Montiel-Marín, Miguel Antunes, Angel Llamazares
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition Networks. IV (2024)
Wijden Bouzidi, Soulef Bouaafia, Mohamed Ali Hajjaji, Luis Miguel Bergasa
Enhanced U-Net Approach: Semantic Segmentation for Self-Driving Cars Applications. SSD (2023)
Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis Miguel Bergasa
Efficient Baselines for Motion Prediction in Autonomous Driving. CoRR (2023)
Rodrigo Gutiérrez-Moreno, Rafael Barea, María Elena López Guillén, Juan Felipe Arango, Navil Abdeselam, Luis Miguel Bergasa
Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios. IV (2023)
Fabio Sánchez-García, Felipe Arango, Carlos Gómez Huélamo, Manuel Ocaña, Pedro A. Revenga, Luis Miguel Bergasa
Green Deep Learning: Comparative Study of Road Object Detectors Between Jetson Boards and PC. ROBOT (1) (2023)
Pablo Pardo-Decimavilla, Luis Miguel Bergasa, Elena López Guillén, Angel Llamazares, Navil Abdeselam, Manuel Ocaña
Driver Activity Recognition by Fusing Multi-object and Key Points Detection. ROBOT (1) (2023)
Xuan He, Kailun Yang, Junwei Zheng, Jin Yuan, Luis Miguel Bergasa, Hui Zhang, Zhiyong Li
-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection. CoRR (2023)
Rodrigo Gutiérrez-Moreno, Carlos Gómez Huélamo, Rafael Barea, Elena López Guillén, Felipe Arango, Luis Miguel Bergasa
Augmented Reinforcement Learning with Efficient Social-Based Motion Prediction for Autonomous Decision-Making. ITSC (2023)
Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Luis Miguel Bergasa
Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement. CVPR Workshops (2023)
Carlos Gómez Huélamo, Marcos V. Conde, Rodrigo Gutiérrez-Moreno, Rafael Barea, Angel Llamazares, Miguel Antunes, Luis Miguel Bergasa
Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction. ITSC (2023)
Miguel Antunes, Luis Miguel Bergasa, Santiago Montiel-Marín, Fabio Sánchez-García, Pablo Pardo-Decimavilla, Pedro A. Revenga
Exploring Domain Adaptation with Depth-Based 3D Object Detection in CARLA Simulator. ROBOT (1) (2023)
Santiago Montiel-Marín, Carlos Gómez Huélamo, Javier de la Peña, Miguel Antunes, Elena López Guillén, Luis Miguel Bergasa
Towards LiDAR and RADAR Fusion for Object Detection and Multi-object Tracking in CARLA Simulator. ROBOT (2) (2022)
Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López Guillén, Javier Araluce, Luis Miguel Bergasa
Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator. Sensors 22 (21) (2022)
Luis Miguel Bergasa
Beyond Supervised Deep Learning for Autonomous Driving. VEHITS (2022)
Carlos Gómez Huélamo, Alejandro Díaz, Javier Araluce, Miguel E. Ortiz, Rodrigo Gutiérrez, Felipe Felipe Arango, Angel Llamazares, Luis Miguel Bergasa
How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline. IV (2022)
Carlos Gómez Huélamo, Javier del Egido, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Javier Araluce, Miguel Antunes
$360^{\circ }$ real-time and power-efficient 3D DAMOT for autonomous driving applications. Multim. Tools Appl. 81 (19) (2022)
Miguel Antunes, Luis Miguel Bergasa, Javier Araluce, Rodrigo Gutiérrez, Juan Felipe Arango, Manuel Ocaña
Including Transfer Learning and Synthetic Data in a Training Process of a 2D Object Detector for Autonomous Driving. ROBOT (2) (2022)
Javier de la Peña, Luis Miguel Bergasa, Miguel Antunes, Felipe Arango, Carlos Gómez Huélamo, Elena López Guillén
AD PerDevKit: An Autonomous Driving Perception Development Kit using CARLA simulator and ROS. ITSC (2022)
Alejandro Diaz-Diaz, Manuel Ocaña, Angel Llamazares, Carlos Gómez Huélamo, Pedro A. Revenga, Luis Miguel Bergasa
HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring. IV (2022)
Óscar Pérez-Gil, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rodrigo Gutiérrez, Alejandro Díaz
Deep reinforcement learning based control for Autonomous Vehicles in CARLA. Multim. Tools Appl. 81 (3) (2022)
Javier Araluce, Luis Miguel Bergasa, Manuel Ocaña, Elena López Guillén, Rodrigo Gutiérrez-Moreno, Juan Felipe Arango
Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator. Sensors 22 (24) (2022)
Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz, Santiago Montiel, Rafael Barea, Luis Miguel Bergasa
Exploring Attention GAN for Vehicle Motion Prediction. CoRR (2022)
Javier Araluce, Luis Miguel Bergasa, Manuel Ocaña, Rafael Barea, Elena López Guillén, Pedro A. Revenga
ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network. IV (2022)
Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz, Santiago Montiel, Rafael Barea, Luis Miguel Bergasa
Exploring Attention GAN for Vehicle Motion Prediction. ITSC (2022)
Carlos Gómez Huélamo, Javier del Egido, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Juan Felipe Arango, Javier Araluce, Joaquín López
Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology. Multim. Tools Appl. 81 (3) (2022)
Roberto Arroyo, Sergio Álvarez, Aitor Aller, Luis Miguel Bergasa, Miguel E. Ortiz
Fine-tuning your answers: a bag of tricks for improving VQA models. Multim. Tools Appl. 81 (19) (2022)
Óscar Pérez-Gill, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rodrigo Gutiérrez, Alejandro Díaz
Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications. IV (2021)
Rodrigo Gutiérrez, Juan Felipe Arango, Carlos Gómez Huélamo, Luis Miguel Bergasa, Rafael Barea, Javier Araluce
Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator. IV (2021)
Carlos Gómez Huélamo, Luis Miguel Bergasa, Rodrigo Gutiérrez, Juan Felipe Arango, Alejandro Díaz
SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications. IV (2021)
Javier Araluce, Luis Miguel Bergasa, Manuel Ocaña, Elena López Guillén, Pedro A. Revenga, Juan Felipe Arango, Óscar Pérez-Gil
Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios. Sensors 21 (18) (2021)
Miguel E. Ortiz, Luis Miguel Bergasa, Roberto Arroyo, Sergio Álvarez, Aitor Aller
Towards Fine-Tuning of VQA Models in Public Datasets. WAF (2020)
Carlos Gómez Huélamo, Javier del Egido, Luis Miguel Bergasa, Rafael Barea, Manuel Ocaña, Juan Felipe Arango, Rodrigo Gutiérrez-Moreno
Real-Time Bird's Eye View Multi-Object Tracking system based on Fast Encoders for Object Detection. ITSC (2020)
Javier del Egido, Carlos Gómez Huélamo, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Javier Araluce, Rodrigo Gutiérrez, Miguel Antunes
360$^{\circ }$ Real-Time 3D Multi-object Detection and Tracking for Autonomous Vehicle Navigation. WAF (2020)
Carlos Gómez Huélamo, Javier del Egido, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Juan Felipe Arango, Javier Araluce, Joaquín López
Train Here, Drive There: Simulating Real-World Use Cases with Fully-Autonomous Driving Architecture in CARLA Simulator. WAF (2020)
Rodrigo Gutiérrez, Elena López Guillén, Luis Miguel Bergasa, Rafael Barea, Óscar Pérez-Gil, Carlos Gómez Huélamo, Juan Felipe Arango, Javier del Egido, Joaquín López
A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework. Sensors 20 (14) (2020)
Javier Araluce, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rafael Barea, Elena López Guillén, Juan Felipe Arango, Óscar Pérez-Gil
Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios. WAF (2020)
Óscar Pérez-Gil, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Pedro A. Revenga, Rodrigo Gutiérrez, Alejandro Díaz
DQN-Based Deep Reinforcement Learning for Autonomous Driving. WAF (2020)
Kailun Yang, Xinxin Hu, Luis Miguel Bergasa, Eduardo Romera, Kaiwei Wang
PASS: Panoramic Annular Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 21 (10) (2020)
Juan Felipe Arango, Luis Miguel Bergasa, Pedro A. Revenga, Rafael Barea, Elena López Guillén, Carlos Gómez Huélamo, Javier Araluce, Rodrigo Gutiérrez
Drive-By-Wire Development Process Based on ROS for an Autonomous Electric Vehicle. Sensors 20 (21) (2020)
Rafael Barea, Luis Miguel Bergasa, Eduardo Romera, Elena López Guillén, Óscar Pérez-Gil, Miguel Tradacete, Joaquín López
Integrating State-of-the-Art CNNs for Multi-Sensor 3D Vehicle Detection in Real Autonomous Driving Environments. ITSC (2019)
Luis Miguel Bergasa, Javier Araluce, Eduardo Romera, Rafael Barea, Elena López Guillén, Javier del Egido, Carlos A. Hernanz-Mayoral
Naturalistic Driving Study for Older Drivers based on the DriveSafe App. ITSC (2019)
Kailun Yang, Xinxin Hu, Luis Miguel Bergasa, Eduardo Romera, Xiao Huang, Dongming Sun, Kaiwei Wang
Can we PASS beyond the Field of View? Panoramic Annular Semantic Segmentation for Real-World Surrounding Perception. IV (2019)
Carlos Gómez Huélamo, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén, Juan Felipe Arango, Pablo Sánchez
Simulating use cases for the UAH Autonomous Electric Car. ITSC (2019)
Álvaro Sáez, Luis Miguel Bergasa, María Elena López Guillén, Eduardo Romera, Miguel Tradacete, Carlos Gómez Huélamo, Javier del Egido
Real-Time Semantic Segmentation for Fisheye Urban Driving Images Based on ERFNet. Sensors 19 (3) (2019)
Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, Jose M. Alvarez, Rafael Barea
Bridging the Day and Night Domain Gap for Semantic Segmentation. IV (2019)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, Eduardo Romera
Are you ABLE to perform a life-long visual topological localization? Auton. Robots 42 (3) (2018)
Kailun Yang, Luis Miguel Bergasa, Eduardo Romera, Ruiqi Cheng, Tianxue Chen, Kaiwei Wang
Unifying terrain awareness through real-time semantic segmentation. Intelligent Vehicles Symposium (2018)
Qi Wang, Luis Miguel Bergasa, Jose M. Alvarez
Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. 19 (1) (2018)
Esther Murciego, Carlos Gómez Huélamo, Rafael Barea, Luis Miguel Bergasa, Eduardo Romera, Juan Felipe Arango, Miguel Tradacete, Álvaro Sáez
Topological Road Mapping for Autonomous Driving Applications. WAF (2018)
Rafael Barea, Carlos Perez, Luis Miguel Bergasa, Elena López Guillén, Eduardo Romera, Eduardo J. Molinos, Manuel Ocaña, Joaquín López
Vehicle Detection and Localization using 3D LIDAR Point Cloud and Image Semantic Segmentation. ITSC (2018)
Kailun Yang, Ruiqi Cheng, Luis Miguel Bergasa, Eduardo Romera, Kaiwei Wang, Ningbo Long
Intersection Perception Through Real-Time Semantic Segmentation to Assist Navigation of Visually Impaired Pedestrians. ROBIO (2018)
Edwin Antonio Enriquez, Nelly Gordillo Castillo, Luis Miguel Bergasa, Eduardo Romera, Carlos Gómez Huélamo
Convolutional Neural Network vs Traditional Methods for Offline Recognition of Handwritten Digits. WAF (2018)
Javier del Egido, Luis Miguel Bergasa, Eduardo Romera, Carlos Gómez Huélamo, Javier Araluce, Rafael Barea
Self-driving a Car in Simulation Through a CNN. WAF (2018)
Kailun Yang, Luis Miguel Bergasa, Eduardo Romera, Dongming Sun, Kaiwei Wang, Rafael Barea
Semantic perception of curbs beyond traversability for real-world navigation assistance systems. ICVES (2018)
Eduardo Romera, Luis Miguel Bergasa, Jose M. Alvarez, Mohan M. Trivedi
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium (2018)
Kailun Yang, Luis Miguel Bergasa, Eduardo Romera, Xiao Huang, Kaiwei Wang
Predicting Polarization Beyond Semantics for Wearable Robotics. Humanoids (2018)
Kailun Yang, Luis Miguel Bergasa, Eduardo Romera, Juan Wang, Kaiwei Wang, Elena López Guillén
Perception Framework of Water Hazards Beyond Traversability for Real-World Navigation Assistance Systems. ROBIO (2018)
Carlos Gómez Huélamo, Pablo F. Alcantarilla, Luis Miguel Bergasa, Elena López Guillén
Change Detection Tool Based on GSV to Help DNNs Training. WAF (2018)
Miguel Tradacete, Álvaro Sáez, Juan Felipe Arango, Carlos Gómez Huélamo, Pedro A. Revenga, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa
Positioning System for an Electric Autonomous Vehicle Based on the Fusion of Multi-GNSS RTK and Odometry by Using an Extented Kalman Filter. WAF (2018)
Kailun Yang, Kaiwei Wang, Luis Miguel Bergasa, Eduardo Romera, Weijian Hu, Dongming Sun, Junwei Sun, Ruiqi Cheng, Tianxue Chen, Elena López Guillén
Unifying Terrain Awareness for the Visually Impaired through Real-Time Semantic Segmentation. Sensors 18 (5) (2018)
Eduardo Romera, Jose M. Alvarez, Luis Miguel Bergasa, Roberto Arroyo
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 19 (1) (2018)
Álvaro Sáez, Luis Miguel Bergasa, Eduardo Romera, Elena López Guillén, Rafael Barea, Rafael Sanz
CNN-based Fisheye Image Real-Time Semantic Segmentation. Intelligent Vehicles Symposium (2018)
Eduardo Romera, Jose M. Alvarez, Luis Miguel Bergasa, Roberto Arroyo
Efficient ConvNet for real-time semantic segmentation. Intelligent Vehicles Symposium (2017)
Wei Zhou, Roberto Arroyo, Alex Zyner, James R. Ward, Stewart Worrall, Eduardo M. Nebot, Luis Miguel Bergasa
Transferring visual knowledge for a robust road environment perception in intelligent vehicles. ITSC (2017)
Sebastián Bronte, Luis Miguel Bergasa, Daniel Pizarro, Rafael Barea
Model-Based Real-Time Non-Rigid Tracking. Sensors 17 (10) (2017)
Elena López Guillén, Sergio García, Rafael Barea, Luis Miguel Bergasa, Eduardo J. Molinos, Roberto Arroyo, Eduardo Romera, Samuel Pardo
A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments. Sensors 17 (4) (2017)
Eduardo Romera, Luis Miguel Bergasa, Roberto Arroyo
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs? CoRR (2016)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, Eduardo Romera
OpenABLE: An open-source toolbox for application in life-long visual localization of autonomous vehicles. ITSC (2016)
Cesar Arroyo, Luis Miguel Bergasa, Eduardo Romera
Adaptive fuzzy classifier to detect driving events from the inertial sensors of a smartphone. ITSC (2016)
Eduardo Romera, Luis Miguel Bergasa, Roberto Arroyo
Need data for driver behaviour analysis? Presenting the public UAH-DriveSet. ITSC (2016)
Sergio García, María Elena López Guillén, Rafael Barea, Luis Miguel Bergasa, Alejandro Gómez, Eduardo J. Molinos
Indoor SLAM for Micro Aerial Vehicles Control Using Monocular Camera and Sensor Fusion. ICARSC (2016)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, Eduardo Romera
Fusion and binarization of CNN features for robust topological localization across seasons. IROS (2016)
Eduardo Romera, Luis Miguel Bergasa, Roberto Arroyo
A Real-Time Multi-scale Vehicle Detection and Tracking Approach for Smartphones. ITSC (2015)
Abdelkrim Nemra, Luis Miguel Bergasa, Elena López Guillén, Rafael Barea, Alejandro Gómez, Álvaro Saltos
Robust Visual Simultaneous Localization and Mapping for MAV Using Smooth Variable Structure Filter. ROBOT (1) (2015)
Roberto Arroyo, José Javier Yebes Torres, Luis Miguel Bergasa, Iván García Daza, Javier Almazán
Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls. Expert Syst. Appl. 42 (21) (2015)
Mario Passani, José Javier Yebes Torres, Luis Miguel Bergasa
Fast pixelwise road inference based on Uniformly Reweighted Belief Propagation. Intelligent Vehicles Symposium (2015)
Elena López Guillén, Rafael Barea, Alejandro Gómez, Álvaro Saltos, Luis Miguel Bergasa, Eduardo J. Molinos, Abdelkrim Nemra
Indoor SLAM for Micro Aerial Vehicles Using Visual and Laser Sensor Fusion. ROBOT (1) (2015)
José Javier Yebes Torres, Luis Miguel Bergasa, Miguel Ángel García Garrido
Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes. Sensors 15 (4) (2015)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, Eduardo Romera
Towards life-long visual localization using an efficient matching of binary sequences from images. ICRA (2015)
Sebastián Bronte, Marco Paladini, Luis Miguel Bergasa, Lourdes Agapito, Roberto Arroyo
Real-time sequential model-based non-rigid SFM. IROS (2014)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, José Javier Yebes Torres, Sergio Gamez
Bidirectional loop closure detection on panoramas for visual navigation. Intelligent Vehicles Symposium (2014)
José Javier Yebes Torres, Luis Miguel Bergasa, Roberto Arroyo, Alberto Lazaro
Supervised learning and evaluation of KITTI's cars detector with DPM. Intelligent Vehicles Symposium (2014)
Mario Passani, J. Javier Yebes, Luis Miguel Bergasa
CRF-based semantic labeling in miniaturized road scenes. ITSC (2014)
Iván García Daza, Luis Miguel Bergasa, Sebastián Bronte, J. Javier Yebes, Javier Almazán, Roberto Arroyo
Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection. Sensors 14 (1) (2014)
Luis Miguel Bergasa, Daniel Almeria, Javier Almazán, José Javier Yebes Torres, Roberto Arroyo
DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors. Intelligent Vehicles Symposium (2014)
Álvaro Gonzalez, Luis Miguel Bergasa, José Javier Yebes Torres
Text Detection and Recognition on Traffic Panels From Street-Level Imagery Using Visual Appearance. IEEE Trans. Intell. Transp. Syst. 15 (1) (2014)
Roberto Arroyo, Pablo F. Alcantarilla, Luis Miguel Bergasa, José Javier Yebes Torres, Sebastián Bronte
Fast and effective visual place recognition using binary codes and disparity information. IROS (2014)
Andres F. Cela, J. Javier Yebes, Roberto Arroyo, Luis Miguel Bergasa, Rafael Barea, Elena López Guillén
Complete Low-Cost Implementation of a Teleoperated Control System for a Humanoid Robot. Sensors 13 (2) (2013)
Elena Garcia, Manuel Ocaña, Luis Miguel Bergasa, Manuel Ferre, Mohamed Abderrahim, Juan Carlos Arevalo, Daniel Sanz-Merodio, Eduardo J. Molinos, Noelia Hernández, Angel Llamazares, Francisco Suárez-Ruiz, Silvia Rodriguez
Competing in the DARPA Virtual Robotics Challenge as the SARBOT Team. ROBOT (2) (2013)
Vicente Milanés Montero, Luis Miguel Bergasa
Introduction to the Special Issue on "New Trends towards Automatic Vehicle Control and Perception Systems". Sensors 13 (5) (2013)
Eduardo J. Molinos, Angel Llamazares, Noelia Hernández, Roberto Arroyo, Andres F. Cela, José Javier Yebes Torres, Manuel Ocaña, Luis Miguel Bergasa
Perception and Navigation in Unknown Environments: The DARPA Robotics Challenge. ROBOT (2) (2013)
Andres F. Cela, Luis Miguel Bergasa, Franklin L. Sanchez, Marco A. Herrera
Lanes Detection Based on Unsupervised and Adaptive Classifier. CICSyN (2013)
Andres F. Cela, Luis Miguel Bergasa, Roberto Arroyo
Gate Recognition and Reconstruction for DARPA Robotics Challenge Using Bayesian Classifier Optimized by Mahalanobis Distance. EMS (2013)
Pablo F. Alcantarilla, Luis Miguel Bergasa, Andrew J. Davison
Gauge-SURF descriptors. Image Vis. Comput. 31 (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luis Miguel Bergasa