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camera-based-2d-feature-tracking

dog-breed-classifier

Creating a dog breed classifier with CNNs: Udacity-Machine Learning Engineer Nanodegree Program-Capstone project

mobile-3d-printer

Omni wheel robot that can do 3D printing.

sagemaker-plagiarism_detection

Creating a plagiarism detector with PyTorch and SageMaker: Udacity-Machine Learning Engineer Nanodegree Program

sagemaker-sentiment-analysis-webapp

Creating a Sentiment Analysis Web App with PyTorch and SageMaker: Udacity-Machine Learning Engineer Nanodegree Program

scientificcomputingwithpython-freecodecamp

Python projects made for the freeCodeCamp Scientific Computing with Python Certification.

sfnd-camera-based-2d-feature-tracking

Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.

sfnd-lidar-obstacle-detection

A detection pipeline is applied on a stream Lidar PCD as follows filtering using a voxel grid filter, segmentation using the RANSAC algorithm, clustering using KD-tree data structure and Euclidean clustering, and finally applying bounding boxes on the detected clusters.

sfnd-radar-target-generation-and-detection

Configuring the radar FMCW waveform based on the system requirements and simulating the radar signal propagation and moving target scenario. Finally, post processing the radar signal using 1st FFT, 2nd FFT, and CA-CFAR to estimate the target's range and velocity.

sfnd-unscented-kalman-filter-highway-project

LIDAR and Radar measurements are fused to estimate the state of multiple cars on a highway with Unscented Kalman Filter (UKF) using Constant Turn Rate and Velocity (CTRV) model.

sfnd_3d_object_tracking

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).