Pinned Repositories
CarND-Kidnapped-Vehicle-Project
A robot car has been kidnapped and transported to a new location! Luckily it has a map of this location, a (noisy) GPS estimate of its initial location, and lots of (noisy) sensor and control data.This project will implement a 2 dimensional particle filter in C++ which this car will use to locate itself.
Self-Driving-Car-Behavioral-Cloning
Developed a deep convolutional neural network to clone human’s driving behavior using Keras deep learning framework and OpenCV python library; that is used to train a car. Validated and tested the model by driving the car in a simulator
CarND-Extended-Kalman-Filter-Project
use extended kalman filter to predict & measure an object's 2D position and velocity
CarND-MPC-Project
implement Model Predictive Control to drive a car around a given track
CarND-Path-Planning-Project
this project the goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.
CarND-PID-Control-Project
This project will implement a PID controller in C++ to maneuver a vehicle around a given simulated track! The simulator will provide the cross track error (CTE) and the velocity (mph) in order to compute the appropriate steering angle
CarND-Semantic-Segmentation
Label the pixels of a road in images using a Fully Convolutional Network(FCN)
CarND-Unscented-Kalman-Filter-Project
Implement Unscented Kalman filter to track a non-linear motion of an object
Self-Driving-Car-Advanced-Lane-Detection
Implement a software pipeline to identify the lane boundaries in a video
Self-Driving-Car-Lane-Detection
Implemented a software pipeline to identify the lane boundaries in a video. Applied distortion correction to raw images, color transformation, gradients and perspective transformation etc.
shemonc's Repositories
shemonc/CarND-Semantic-Segmentation
Label the pixels of a road in images using a Fully Convolutional Network(FCN)
shemonc/CarND-Path-Planning-Project
this project the goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.
shemonc/CarND-MPC-Project
implement Model Predictive Control to drive a car around a given track
shemonc/CarND-PID-Control-Project
This project will implement a PID controller in C++ to maneuver a vehicle around a given simulated track! The simulator will provide the cross track error (CTE) and the velocity (mph) in order to compute the appropriate steering angle
shemonc/CarND-Kidnapped-Vehicle-Project
A robot car has been kidnapped and transported to a new location! Luckily it has a map of this location, a (noisy) GPS estimate of its initial location, and lots of (noisy) sensor and control data.This project will implement a 2 dimensional particle filter in C++ which this car will use to locate itself.
shemonc/CarND-Unscented-Kalman-Filter-Project
Implement Unscented Kalman filter to track a non-linear motion of an object
shemonc/CarND-Extended-Kalman-Filter-Project
use extended kalman filter to predict & measure an object's 2D position and velocity
shemonc/Self-Driving-Car-Vehicle-Detection
Programmed a software pipeline to identify vehicles in a video from a front-facing camera on a car. Used support vector machine from python scikit-learn library to train and classify vehicle images, applied heat map of recurring detections frame by frame to reject outliers etc.
shemonc/Self-Driving-Car-Advanced-Lane-Detection
Implement a software pipeline to identify the lane boundaries in a video
shemonc/Self-Driving-Car-Behavioral-Cloning
Developed a deep convolutional neural network to clone human’s driving behavior using Keras deep learning framework and OpenCV python library; that is used to train a car. Validated and tested the model by driving the car in a simulator
shemonc/Self-Driving-Car-Traffic-Sign-Classifier
This project demonstrate how to engage deep neural networks and convolutional neural networks to classify traffic signs.
shemonc/Self-Driving-Car-Lane-Detection
Implemented a software pipeline to identify the lane boundaries in a video. Applied distortion correction to raw images, color transformation, gradients and perspective transformation etc.