Pinned Repositories
Askey_Adafruit
Handling Bluetooth LE-Communication between Askey wearable watch and Adafruit LE-Bluetooth module
CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
CarND-Vehicle-Detection
Vehicle Detection Project
CheeksDetection
Detect Cheeks from webcam frames using DLIB-68 model.
P2
Deep Learning Project: Build a Traffic Sign Recognition Classifier
P3
Building a behavioral cloning simulator for Autonomous cars. In this project I collect Images from Central, left and right Cameras in a driving simulator and uses these images in training my neural network, so I can use this model in driving car autonomously in the simulator track
P4
Advanced lane lines finding, In this project, my goal is to write a software algorithm pipeline to identify the lane boundaries in a video from a front-facing camera on a car using Computer vision techniques.
P5
Vehicle detection, In this project I used linear SVM classifier together with some other Computer vision techniques to detect other vehicles on the road using images and videos captured by front Camera.
P7
Unscented Kalman Filter technique is used with Sensor fusion between data from Radar and Lidar for tracking a non-linear bicycle motion on simulator.
P8
Vehicle Localization: implementation of a 2 dimensional particle filter in C++ given a map and some initial localization information (analogous to what a GPS would provide) + Observations(noisy measurments from Lidar) + Controls(velocity and yawrate from simulator).
MyadaRoshdi's Repositories
MyadaRoshdi/Askey_Adafruit
Handling Bluetooth LE-Communication between Askey wearable watch and Adafruit LE-Bluetooth module
MyadaRoshdi/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
MyadaRoshdi/CarND-Vehicle-Detection
Vehicle Detection Project
MyadaRoshdi/CheeksDetection
Detect Cheeks from webcam frames using DLIB-68 model.
MyadaRoshdi/P1
Car Lane detection
MyadaRoshdi/P8
Vehicle Localization: implementation of a 2 dimensional particle filter in C++ given a map and some initial localization information (analogous to what a GPS would provide) + Observations(noisy measurments from Lidar) + Controls(velocity and yawrate from simulator).
MyadaRoshdi/AlexNet
MyadaRoshdi/P2
Deep Learning Project: Build a Traffic Sign Recognition Classifier
MyadaRoshdi/P3
Building a behavioral cloning simulator for Autonomous cars. In this project I collect Images from Central, left and right Cameras in a driving simulator and uses these images in training my neural network, so I can use this model in driving car autonomously in the simulator track
MyadaRoshdi/P4
Advanced lane lines finding, In this project, my goal is to write a software algorithm pipeline to identify the lane boundaries in a video from a front-facing camera on a car using Computer vision techniques.
MyadaRoshdi/P5
Vehicle detection, In this project I used linear SVM classifier together with some other Computer vision techniques to detect other vehicles on the road using images and videos captured by front Camera.
MyadaRoshdi/P7
Unscented Kalman Filter technique is used with Sensor fusion between data from Radar and Lidar for tracking a non-linear bicycle motion on simulator.
MyadaRoshdi/Askey_Adafruit_HR
Reading HR from Askey BioSensor and send over Adafruit LE bluetooth.
MyadaRoshdi/Capstone
MyadaRoshdi/EKF
MyadaRoshdi/Final_Capstone
MyadaRoshdi/LeNet5-Lab2
LeNet-Lab-solution includes some adjustments and changes to fit the P2- Traffic signs classifier project
MyadaRoshdi/markdown
A Python implementation of John Gruber’s Markdown with Extension support.
MyadaRoshdi/Mind_the_line
Usng Model Predective Controller (MPC) to make the car follow a trajectory in a Simulator
MyadaRoshdi/P10
Using Model Predective Controller (MPC) to make the car follow a trajectory in a Simulator
MyadaRoshdi/P6
Sensor fusion between data from Radar and Lidar used for tracking a bicycle using Extended Kalman filter technique.
MyadaRoshdi/P9
implement a PID controller in C++ to maneuver the vehicle around the track in a simulator.
MyadaRoshdi/Path-Planning
MyadaRoshdi/VGG-GoogleNet-ResNet
Expoloring transfer learnng through the 3-networks (VGG-GoogleNet-ResNet)