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3d-object-tracking-sensor-fusion-udacity-program

cmsc733-hw0-shake-my-boundary--pblite-boundary-detection-algorithm

cmsc733-p1-my-autopano

cmsc733-p2-face-swap

computer-vision-notebooks

Python notebooks implementing various CV models

enpm661-p1-8-puzzle-implementation-using-brute-force-search

The project was about to find all the possible states of the 8-Puzzle starting from the given initial state, keeping in mind, the states should be unique (no repetitions). After that use the brute force search algorithm (BFS) to find the path to reach the goal state using the possible states of 8-puzzle.

enpm661-p2-implementation-of-dijkstra-and-a-star-algorithm-on-point-and-rigid-robots

This project was about implementing Dijkstra and A* algorithm to find a path between start and end point on a given map for a point robot.

enpm661-p3-implementation-of-a-star-algorithm-on-turtlebot

This project involves navigating a differential drive robot (TurtleBot 2) in a virtual environment from a given start point to a given goal point, with simulation carried out on V-REP

enpm661-p5_easy-shopper-i.e.-path-planning-for-shopping-robot

This project represents a novel method to calculate the path. It is a combination of A* and dynamic A* which is implemented on the common task of the shopping cart. Please review the PDF for more info.

enpm673-p3-color-segmentation-using-gaussian-mixture-models-and-expectation-maximization

enpm673-p4-lucas-kanade-template-tracker

enpm673-p5-visual-odometry

Estimated camera pose by calculating Essential and Fundamental Matrix using 8-point algorithms through RANSAC. And the plotted the camera coordinates in world frame to estimate optimal pose of the camera.

enpm673-p6-traffic-sign-detection-and-recognition

enpm809y-final-project

This is the repository for the final project of ENPM809Y (Introduction to Robot Programming) for Group 7.

geometric-tracking-control-of-a-quadrotor-uav

It is a known fact that quadrotor UAVs are in general under-actuated and nonlinear system and it is a challenge to control them, especially in case of aggressive maneuvers. Our goal in this project is to study the nonlinear geometric control approach to control a quadrotor. The configuration of the quadrotor system described on smooth nonlinear geometric configuration spaces has been briefly discussed, and analyzed with the principles of differential geometry. This allows us to avoid any kind of singularities that would otherwise arise on local charts.

introductory-robot-programming-cpp-basics

These are the assignment files of ENPM809Y course at UMD.

lidar-obstacle-detection-sensor-fusion-udacity-program

Obstacle Detection, using PCL library fuctions, to detect objects in a point cloud data from a LIDAR mounted on a Self-Driving Car.

linear-regression

This is the Programming Exercise 1 of "Machine Learning" course by Stanford on Coursera.

lqr-and-lqg-controller-for-two-loads-suspended-from-cables-attached-to-the-moving-crane.

machine-learning-by-coursera

This repo is of my submissions for all the course assignments of Machine Learning by Stanford course on Coursera ( https://www.coursera.org/specializations/machine-learning-introduction? )

mask-rcnn-implementation

neural-network-architecture-analysis-on-cifar10-classification

radar-target-generation-and-detection

rvnandwani.github.io

sensor-fusion-using-unscented-kalman-filter

umd-robotics-enpm673-perception-for-autonomous-robots