Name: Ricardo Guerrero Gómez-Olmedo
Type: User
Company: BEEVA (BBVA Group)
Bio: Telecommunications Engineer specialized in Computer Vision and Deep Learning. I love martial arts, travel to uncommon places and read as much as possible.
Location: Madrid, Spain
Blog: https://www.linkedin.com/in/ricgu8086
Ricardo Guerrero Gómez-Olmedo's Projects
Experiments with time series, streamlit and heroku
Testing code for aws deep racer challenge
This project consist of making a robust pipeline able to detect the lane's lines and give some stats about the road, such as curvature and car's deviation from the center of the lane.
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
How to train an autonomous vehicle using Deep Learning algorithms to transfer my personal driving style.
Starting files for the CarND behavioral cloning project (P3)
Images and notebook for camera calibration
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Traffic sign classification with Keras
My first exercise of the Self-Driving Car nanodegree ( Forked from https://github.com/udacity/CarND-LaneLines-P1)
Implement the LeNet deep neural network model with TensorFlow.
Tools for Sensor Fusion processing.
CarND Term 2 Model Predictive Control (MPC) Project
CarND MPC Quizzes
Create a path planner that is able to navigate a car safely around a virtual highway
TensorFlow Lab for Self-Driving Car ND
Classify traffic signs using ConvNets in Tensorflow
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project (2nd try)
Vehicle Detection Project
This is a set of useful functions for working with detections in C++