juanlozanop Goto Github PK

adminpro-udemy

Este es el demo que estamos trabajando

ai_for_robotics

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

angular-basicos

Esta es la introducción a Angular

angular-fontawesome

Official Angular component for Font Awesome 5

backend-server-udemy

carnd-capstone-wolf-pack

ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.

carnd-detect-lane-lines-and-vehicles

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

intro-to-self-driving-cars5

Intro to Self Driving Cars Nano Degree Udacity

intro-to-self-driving-cars6

Self driving cars of udacity

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.

kalman-filter-for-sensor-fusion

A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain

models

Models and examples built with TensorFlow

r-basic

Curso de introducción a la estadística descriptiva con R Studio

retail-store-item-detection-using-yolov5

In this repository, I present a retail store item detector using YOLOv5

sasensorfusionlocalization

Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:

self-driving-car2

Udacity Self-Driving Car Engineer Nanodegree projects.

self_driving_car3

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

sensor-fusion-projects-udacity-nanodegree

This repository contains projects using LiDAR, Camera, Radar and Kalman Filters for Sensor Fusion. Since each type of sensors has their inherit strengths and limitations, it is important to investigate how they can complement each other to provide the most reliable results when attempting to determine the position and velocity of obstacles.

sensorfusion1

A simple implementation of some complex Sensor Fusion algorithms

smart-retail-checkout-using-yolov3

An implementation of the yolov3 for the detection of objects for retail checkout system

udacity-intro-to-self-driving-car7

This is repository for Udacity Nanodegree for Self Driving car and work is basically in Jupyter Notebook and C++.

udacity-path-planning

My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation

udacity-self-driving-car

My projects for Udacity's Self Driving Car Nanodegree program.

udacity-self-driving-car-engineer4

My project and task solutions for Udacity's Self-driving Car Engineer Nanodegree

udemy-heroes