Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
Repository containing code and notebooks exploring how to solve Gymnasium's Car Racing through Reinforcement Learning
This project applies YOLOV2 for car detection using the Keras version from allanzelener/YAD2K.
Robot Kinematics: ML-based forward/inverse kinematics for robots with varying DOF. Autonomous Car Racing: CNN-driven image-to-action classification for driving control. Both projects are implemented in Jupyter Notebooks with performance optimization.
This project shows the implementation of a performance optimized lane detection system for United States roads. It’s developed in Python using Anaconda with OpenCV and for better demonstration embedded as a Jupyter Notebook.
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
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