Skip to content
View AndresGarciaEscalante's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Continental
  • Mexico

Organizations

@ADAS-based-on-Traffic-Lights

Block or report AndresGarciaEscalante

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

Pinned Loading

  1. Binocular-Stereo-Vision Binocular-Stereo-Vision Public

    Performing Dense correspondence matching and Depth Image Generation using Patch Matching and Gradients-Based Features algorithms.

    MATLAB 7 4

  2. Path-Planning-Autonomous-Car Path-Planning-Autonomous-Car Public

    Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.

    C++ 4

  3. Home-Service-Robot Home-Service-Robot Public

    Development of a mobile robot that performs SLAM, Path Planning, and picks up objects generated in the Gazebo world

    C++ 2

  4. Facial_Kepoints_CNN Facial_Kepoints_CNN Public

    Development of a Facial Keypoints Detection model based on a Convolutional Neural Network. The model is able to be executed in Real-time.

    Jupyter Notebook

  5. Pedestrian_Cars_Cyclists_Object_Detection Pedestrian_Cars_Cyclists_Object_Detection Public

    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.

    Jupyter Notebook

  6. Street-View-House-Numbers-using-EfficientDet Street-View-House-Numbers-using-EfficientDet Public

    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.

    Jupyter Notebook