a_star_path_planning

In this project, the A* path planning algorithm was implemented on a point robot for helping it navigate through an obstacle filled space.

autoencoder_implementation

Working of Autoencoders and its implementation in PyTorch

bfs_8_puzzle

Finding all the possible states of the 8-Puzzle starting from the given initial state until the goal node is reached. States being unique. •Using the initial state of the puzzle, performing different moves in all the directions to generate new states. Using BFS to reach the goal. Back tracking for solving the problem

blog

SvelteKit blog

camera_pose_estimation

This project aims to estimate camera pose using homography for a given video. Steps involved are designing an image processing pipeline to extract paper's corners, computing homography between real-world points and pixel coordinates of the corners, and decomposing the homography matrix to obtain rotation and translation parameters.

control_of_crane_system

Design and Simulation of LQR and LQG Controller for Crane System

deep_learning

dijkstra_point_robot

In this project, the Dijkstra's path planning algorithm was implemented on a point robot for helping it navigate through an obstacle filled space.

dsa

Daily DSA

enpm662_project1

Modelling and SImulation of a mobile robot in Gazebo

generative_adversarial_networks

Generative Adversarial Networks on MNIST and Human Faces Dataset

grade-calculator-kc

Calculates the final course grade for ENPM611

image_stitching

This project involves stitching together four images taken from the different camera positions to create a panoramic image. The goal is to seamlessly merge the images together so that the resulting panoramic image looks like a single, continuous image.

implicit_neural_representation

With INR, we parameterize some signal (in our case images) with a neural network (in this assignment, we will use a basic feed-forward network).

k_means_clustering

Color based image segmentation

lane_detection

Lane Detection using classical approach and a deep learning based approach

lidar_slam

manipulator_control_ddpg

Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG

montecarlo_localization

Mapping based on Monte Carlo particle filter with lidar scan, accelerometer and gyroscope data.

neural_radiance_fields

Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.

neural_surfaces

Sphere Tracing. Optimizing a Neural SDF. VolSDF. Phong Relighting.

obstacle_avoidance_bot

Simulation of an obstacle avoidance turtlebot3 based on lidar data

omkarchittar

omkarchittar.github.io

point_cloud_analysis

Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data

pointcloud_classification_and_segmentation

Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.

pose_estimation_2d

This repository contains the Pytorch code for human pose estimation using the CAREN dataset.

pytorch3d_rendering_basics

Learning the basics of rendering with PyTorch3D, exploring 3D representations, and practicing constructing simple geometry.

quizify

Using Google Gemini to generate quizzes from any sets of pdf files

semantic_segmentation_and_object_detection

This repository showcases the implementation of both Semantic Segmentation Model and Object Detection Models for Self-Driving Cars.