This is my portfolio of projects that I've done in Udacity's Self-Driving Car Nanodegree. It consists of 9 projects.
A simple computer vision project on detecting lane line in highway.
A more advanced lane line detection algorithm with simple computational geometry.
A project on traffic sign classifier for German Traffic Sign Dataset implemented with TensorFlow 1!
The goal of this project is to apply deep learning principle to behavioral cloning of self-driving car. The convolutional neural network predicts the steering angle from the road image taken from the camera attached to the car.
In this project, I utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.
An implementation of a particle filter for the localization of kiddnapped vehicle!
This is a very serious project on implementing the path planner. The goal of this project is to make behavior/path planner that can drive the car in highway situation safely and efficiently.
A simple PID Controller that drives the car around the lake view track!
The capstone project of Self-Driving Car Nanodgree. In this project, I integrate all the modules that I've developed earlier and run the car in the simulator!
