Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS. - Pablo Marín-Plaza; Jorge Beltrán; Ahmed Hussein 003; Basam Musleh; David Martín 001; Arturo de la Escalera; José María Armingol (VISIGRAPP (3: VISAPP), 2016)

Automatic extrinsic calibration for lidar-stereo vehicle sensor setups. - Carlos Guindel; Jorge Beltrán; David Martín 001; Fernando García 002 (ITSC, 2017)

Dense Semantic Stereo Labelling Architecture for In-Campus Navigation. - Jorge Beltrán; Carlos Jaraquemada; Basam Musleh; Arturo de la Escalera; José María Armingol (VISIGRAPP (5: VISAPP), 2017)

BirdNet: A 3D Object Detection Framework from LiDAR Information. - Jorge Beltrán; Carlos Guindel; Francisco Miguel Moreno; Daniel Cruzado; Fernando García 002; Arturo de la Escalera (ITSC, 2018)

Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage. - Bernard Chen 001; David Jones; Mustafa Tunc; Kristen Chipolla; Jorge Beltrán (ICDM, 2019)

A Method for Synthetic LiDAR Generation to Create Annotated Datasets for Autonomous Vehicles Perception. - Jorge Beltrán; Irene Cortés; Alejandro Barrera; Jesús Urdiales; Carlos Guindel; Fernando García 002; Arturo de la Escalera (ITSC, 2019)

Traffic Sign Detection and 3D Localization via Deep Convolutional Neural Networks and Stereo Vision. - Gabriel Noya Doval; Abdulla Al-Kaff; Jorge Beltrán; Fernando García Fernandez; Gerardo Fernández-López (ITSC, 2019)

Joint Instance Segmentation of Obstacles and Lanes Using Convolutional Neural Networks. - Leonardo Cabrera Lo Bianco; Abdulla Al-Kaff; Jorge Beltrán; Fernando García Fernandez; Gerardo Fernández-López (ROBOT (1), 2019)

BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View. - Alejandro Barrera; Carlos Guindel; Jorge Beltrán; Fernando García 002 (ITSC, 2020)

Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal. - Jorge Beltrán; Carlos Guindel; Irene Cortés; Alejandro Barrera; Armando Astudillo; Jesús Urdiales; Mario Álvarez; Farid Bekka; Vicente Milanés; Fernando García 002 (ITSC, 2020)

siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection. - Irene Cortés; Jorge Beltrán; Arturo de la Escalera; Fernando García 002 (IV, 2020)

Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal. - Jorge Beltrán; Carlos Guindel; Irene Cortés; Alejandro Barrera; Armando Astudillo; Jesús Urdiales; Mario Álvarez; Farid Bekka; Vicente Milanés; Fernando García 002 (CoRR, 2020)

Joint semantic segmentation of road objects and lanes using Convolutional Neural Networks. - Leonardo Cabrera Lo Bianco; Jorge Beltrán; Gerardo Fernández-López; Fernando García 002; Abdulla Al-Kaff (Robotics Auton. Syst., 2020)

Visibility-Aware Adaptative Speed Planner for Human-like Navigation in Roundabouts. - Armando Astudillo; Nievsabel Molina; Irene Cortés; Imane Mahtout; David González; Jorge Beltrán; Carlos Guindel; Alejandro Barrera; Mario Álvarez; Clément Zinoune; Vicente Milanés; Fernando García 002 (ITSC, 2021)

Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View. - Alejandro Barrera; Jorge Beltrán; Carlos Guindel; José Antonio Iglesias 001; Fernando García 002 (ITSC, 2021)

BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird's Eye View. - Alejandro Barrera; Jorge Beltrán; Carlos Guindel; José Antonio Iglesias 001; Fernando García 002 (IEEE Access, 2021)

TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties. - Jesús Herrera-Bravo; Lisandra Herrera Belén; Jorge G. Farias; Jorge Beltrán (Comput. Biol. Chem., 2021)

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. - Jorge Beltrán; Carlos Guindel; Fernando García 002 (CoRR, 2021)

DALi: Domain Adaptation in LiDAR Point Clouds for 3D Obstacle Detection. - Irene Cortés; Jorge Beltrán; Arturo de la Escalera; Fernando García 002 (ITSC, 2022)

PEP-PREDNa+: A web server for prediction of highly specific peptides targeting voltage-gated Na+ channels using machine learning techniques. - Jesús Herrera-Bravo; Jorge G. Farias; Fernanda Parraguez Contreras; Lisandra Herrera Belén; Jorge Beltrán (Comput. Biol. Medicine, 2022)

The Tornado Project: An Automated Driving Demonstration in Peri-Urban and Rural Areas. - Vicente Milanés; David González; Francisco Navas; Imane Mahtout; Alexandre Armand; Clément Zinoune; Arunkumar Ramaswamy; Farid Bekka; Nievsabel Molina; Emmanuel Battesti; Yvon Kerdoncuff; Carlos Guindel; et al. (IEEE Intell. Transp. Syst. Mag., 2022)

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. - Jorge Beltrán; Carlos Guindel; Arturo de la Escalera; Fernando García 002 (IEEE Trans. Intell. Transp. Syst., 2022)

VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation. - Jorge Beltrán; Lisandra Herrera Belén; Jorge G. Farias; Mauricio Zamorano; Nicolás Lefin; Javiera Miranda; Fernanda Parraguez Contreras (Briefings Bioinform., 2023)

Joint Object Detection and Re-Identification for 3D Obstacle Multi-Camera Systems. - Irene Cortés; Jorge Beltrán; Arturo de la Escalera; Fernando García 002 (Sensors, 2023)

MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach. - Jorge Beltrán; Lisandra Herrera Belén; Fernanda Parraguez Contreras; Jorge G. Farias; Jorge Machuca-Sepúlveda; Stefania Short (BMC Bioinform., 2024)

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool. - Jorge Beltrán; Lisandra Herrera Belén; Alejandro J. Yáñez; Luis Jimenez (BMC Bioinform., 2024)

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics. - Miguel Ángel de Miguel; Jorge Beltrán; Juan S. Cely; Francisco Martín 001; Juan Carlos Manzanares; Alberto García (CoRR, 2025)