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My name is Carlos Gómez Huélamo, currently PhD candidate in Artificial Intelligence and Robotics at the RobeSafe research group (Electronics Department, University of Alcalá) under the supervision of Prof. Luis Miguel Bergasa Pascual and Prof. Rafael Barea Navarro. I received my BSc degree in Industrial Electronics and Automation Engineering (Top 3 students) from the University of Alcalá (2013-2017) , in which I was granted with an Erasmus+ scholarship to study in the University College of Cork (UCC, Ireland) and my MSc in Industrial Engineering (Top 2 students) from the University of Alcalá (2017-2019), in which I was granted with an Erasmus+ scholarship to study in the Tampere University of Technology (TUT, Finland). As member of the RobeSafe research group, I am working in research projects with other universities and companies to generate an important technology transfer to companies and publications. In particular, my PhD thesis is focused on "Deep Learning based Multi-Object Tracking and Motion Prediction for Autonomous Driving applications". Main areas of interest consist of Computer Vision, Machine Learning, Deep Learning, Robotics, Embedded Systems and any field related to these.

Carlos Gómez Huélamo's Projects

ab4cogt icon ab4cogt

A Baseline for CARLA Online Ground-Truth Generation

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dockerfiles icon dockerfiles

This repository contains Dockerfiles with the corresponding configurations for some projects.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lanegcn icon lanegcn

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

lanegcn_ref icon lanegcn_ref

An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

mapfe4mp icon mapfe4mp

Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

openpcdet icon openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection. Provides ROS communications implementing a DAMOT pipeline with forked AB3DMOT tracking module.

paper-notes icon paper-notes

In this repo I will include my highlighted papers about Motion Prediction, Multi-Object Tracking and Simulation

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