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carladrive's Projects

2d-unity-experiments icon 2d-unity-experiments

A collection of visual Unity experiments with latest packages (URP, Shader Graph, Cinemachine, etc).

agents icon agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

ai-gym icon ai-gym

Repository of deep learning and robotics related practice projects.

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

armory icon armory

3D Engine with Blender Integration

autonomouscars-advancedlanelinedetection icon autonomouscars-advancedlanelinedetection

Detected lane lines on the road in videos taken from the front camera of an autonomous car with the OpenCV library in Python, using techniques such as Camera Calibration, Distortion Correction, Perspective Transform, Color and Gradient Thresholding, etc.

autonomouscars-vehicledetection icon autonomouscars-vehicledetection

Detected vehicles in videos taken from the front camera of an autonomous car with the Scikit-Learn and OpenCV libraries in Python, extracting Histogram of Oriented Gradients (HOG) features and training a Support Vector Machine classifier

awesome-unity icon awesome-unity

A curated list of awesome Unity assets, resources, and more.

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

carlarider-udacity icon carlarider-udacity

Udacity Self Driving Car NanoDegree Final Project Repository that will run on Carla!

carnd-capstone icon carnd-capstone

This is the final project of the Udacity Self-Driving Car Engineer Nanodegree program. In this project, I designed the most modules and integrate them all together as an autonomous vehicle system in ROS framework to enable our car Carla drive around the test track in Simulator. Carla will load the base waypoints from the simulator and adapts the desired velocity of waypoints according to the traffic light color detected by camera. Then it will interpret all the information to commands of throttle, braking and steering to realize the lateral and longitudinal control through the Drive-By-Wire module. I implemented the modules/nodes waypoint_updater, twist_controller and traffic light detector in Python on my own and adapts the waypoint_follower from [Autoware](https://github.com/autowarefoundation/autoware), which is written in C++. I used transfer learning with Keras API to detect the traffic light color. I retrain the VGG16 Model twice on my small simulator dataset and get a fine result.

carnd-carla icon carnd-carla

Udacity's Self-Driving Car Capstone Project: Programming a Real Self-Driving Car

coach icon coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

computer-vision icon computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

coursera-modern-robotics icon coursera-modern-robotics

Repo for Modern Robotics coursera specialization: https://www.coursera.org/specializations/modernrobotics

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