Skip to content
View Cram3r95's full-sized avatar
🌎
Focusing
🌎
Focusing

Block or report Cram3r95

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Cram3r95/README.md

Hi there 👋

🎩 My name is Carlos Gómez Huélamo, Senior Engineer at Arnold NextG GmbH (Rüsselsheim, Germany) since 2023. My main roles in the company include software development for the Drive-By-Wire Project, including Model-in-the-Loop, lab bench validation, ISO26262 and ASIL-D certification. On the other hand, aligned with my previous background and main interest, I am responsible for supervising the Artificial Intelligence, Big Data, Digital Twin and Simulation tasks of the company, particularly for vehicle dynamics estimation (force-feedback, road friction coefficient, road conditions, etc.) with Deep Learning.

💻 My main objective is to be a leader in the Automotive Industry regarding embedded and embodied (so, models interacting with the environment) Artificial Intelligence solutions. Main areas of interest consist of Computer Vision, Machine Learning, Deep Learning, Robotic frameworks, Embedded Systems and any field related to these, mainly focused on Intelligent Vehicles applications.

📚 Formerly, I carried out my PhD (2019 - 2023) in Robotics and Artificial Intelligence in the RobeSafe research group (Universidad de Alcalá, Spain) under the supervision of Prof. Luis Miguel Bergasa and Prof. Rafael Barea Navarro. The PhD thesis was focused on "Predictive Techniques for Scene Understanding by using Deep Learning in Autonomous Driving" 🚗🤖, receiving, among other acknoledgments, the prestigious IEEE ITS Best Dissertation Award (2024).

Pinned Loading

  1. mapfe4mp mapfe4mp Public

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

    Jupyter Notebook 70 17

  2. argo2goalmp argo2goalmp Public

    Python 19 3

  3. BEV-MOT-DeepSORT-LiDAR-clustering BEV-MOT-DeepSORT-LiDAR-clustering Public

    C++ 19 7

  4. smartmot smartmot Public

    Python 2

  5. Sensor-Fusion-Unscented-Kalman-Filter Sensor-Fusion-Unscented-Kalman-Filter Public

    C++ 2

  6. ad_perdevkit ad_perdevkit Public

    Forked from Javier-DlaP/ad_perdevkit

    Python 1