andresgarciaescalante Goto Github PK
Name: Andres Garcia
Type: User
Company: Continental
Bio: I like programming robots, self driving cars, Computer Vision and AI.
Location: Mexico
Name: Andres Garcia
Type: User
Company: Continental
Bio: I like programming robots, self driving cars, Computer Vision and AI.
Location: Mexico
Performing Dense correspondence matching and Depth Image Generation using Patch Matching and Gradients-Based Features algorithms.
Design and Implement a Java GUI for a Command Line Generator using Netbeans
Create a snake game with additional features using c++
Develop a traffic simulation in which vehicles are moving along streets and are crossing intersections. In order to manage the traffic flow, then traffic lights have been added to the scenario, which required mutexes and creation of concurrent tasks
The ChatBot code creates a dialogue where users can ask questions about some aspects of memory management in C++. The code optimizes the Memory Management using move semantics and smart pointers
Apply A* Algorithm to find a path from one point to another in google maps using C++
Implement a Linux System Monitor that provides a convenient and consistent way to read the stats of the computer such as processes, RAM, CPU, and more
Compare the Position of a Turtlebot simulated in a Gazebo environment with a Filtered(Extended Kalman Filter) and a Unfilered Trajectories
Development of a Facial Keypoints Detection model based on a Convolutional Neural Network. The model is able to be executed in Real-time.
Our approach uses a Fuzzy Hyper Heuristic model for solving the Fightfighter problem. However, we mainly focus in the fuzzification stage, where we provide three different models using triangular, trapezoidal, and gaussian member functions to represent the features.
Folder / directory structure options and naming conventions for software projects
Design a robot model from scratch and being able to follow a white ball in an environment using ROS, Rviz, and Gazebo.
Perform SLAM using Grid-based-FastSLAM in a simulated Gazebo environment.
Development of a mobile robot that performs SLAM, Path Planning, and picks up objects generated in the Gazebo world
Implement localization to an simulated vehicle in an simulated univity environment.
Implemented a solution for the material transference between manufacturing and assembly stations using two industrial robots OMRON AIV and TM5-700 COBOT merged as a single robot to complete the task.
Development of a world and models in gazebo from scratch.
Plot a map using OGM
Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.
For this project, a convolutional neural network is used to detect and classify objects using data from Waymo dataset. The model is able to detec pedestrians, cyclists, and vehicles.
Implement a PID controller in C++ to maneuver the vehicle around the track.
Create a 2D occupancy grid and 3D octomap from a simulated Gazebo environment using the RTAB-Map package.
Pick and place an object using a KUKA KR 210
Perception Exercises for Robotics
Rover-Nasa vehicle driving in Autonomous mode in a simulated enviroment.
Design and implemetation of my own programming language called "Schnell" using Python-Lex-Yacc.
Implement a safe autonomous navigation in a simulated 3D environment. In the simulation there will be traffic lights, that must be recognized by the self-driving car using a camera. Based on the state of the traffic light the car keeps moving, reduce the velocity, or stops. The self-driving car needs to be able to not exceed the maximum velocity, not exceed the maximum acceleration, not exceed the maximum jerk, and create smooth trajectories.
Street number detection and recognition using a digits detector and digit concatenation, with the aim of finding the best method to pre-classify characters one at a time.
Apply ROS AMCL package to accurately localize a mobile robot inside a map in the Gazebo simulation environment.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.