Some Udacity Projects

Robotics Nanodegree Term 2 Beta Test

• Adaptive Monte-Carlo Localization
• Robotics Inference

Intro to Self-Driving Car Review Submission

• Traffic Light Detector

Rover

• Perception and Mapping: a "search, sample, and return project" with a virtual rover.

Follow Me

• I used a fully-convolutional neural network to paint all pixels in an image which is part of a person. Two types of persons are identified, the “hero” target person, and everyone else.

Behavioral Cloning

• Cloning Driving Behavior with Keras and a Videogame-Like Simulator

Histogram Filter

• Localization using Histogram Filter Algorithm

Perception PR 2

- A catkin workspace in ROS where a virtual PR2 Robot with an RGBD camera perceives objects and places them on the appropriate dropbox.

Point Cloud Recognition

- A catkin workspace in ROS that capture features of objects and then train a classifier to correctly identify the objects from a point cloud file.

PID Toy

- A small collection of toys to demonstrate PID control concepts.

Related Projects

• Particle Filters and Kidnapped Vehicle Project

- A particle-filter visualization in Python using Bokeh based on Udacity's free A.I. for Robotics course - A particle filter implementation to track a kidnapped robot.

• Inverse Kinematics Arm

- An Inverse Kinematics 6DOF Robot Arm Pick and Place Project in ROS.

• Point Cloud Filter

- Scripts showcasing filtering techniques applied to point cloud data.

• Point Cloud Clusters

- A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

• Highway Path Planning

- My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

• Model Predictive Control

- A software pipeline using the Model Predictive Control method to drive a car around a virtual track.

• Semantic Segmentation

- A Fully Convolutional Network (FCN) script to label the pixels of a road in images

• Traffic Sign Classification

- A deep neural network to classify traffic signs, using TensorFlow.

• Unscented Kalman Filter

- An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

• Extended Kalman Filter

- An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

• Vehicle Tracking

- A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

• Advanced Lane Detection

- An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.