This is the last project of the self driving car ND.

fully convolutional network based on VGG16 to find road surface (driveable freespace)

Model predictive controller to let a vehicle with actuator delay drive a course

A PID controller in c++ to keep a vehicle on track using cross track error as the control input

Particle filter to localize a kidnapped vehicle

classifies 32x32x3 images of german traffic signs

UKF based tracker using a CTRV model with radar/lidar fusion

EKF based tracker with radar/lidar fusion

vehicle detection classification and tracking using a CNN and KF-tracker

End-to-End CNN that calculates steering angles from camera input

Detection of lane lines from a front looking camera using open cv.

CNN for classification of CIFAR-10 dataset

my first neural network implementation using python with numpy