Sharath Srinivasan (sharathsrini)

sharathsrini

Geek Repo

Company:@infosys

Location:Düsseldorf, Germany

Home Page:https://sharathsrini.weebly.com/

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Sharath Srinivasan's repositories

Kalman-Filter-for-Sensor-Fusion

A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain

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Particle-Filter

A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.

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Traffic-Sign-Classifier

This is a Classifier Algorithm that can classify German Traffic-Signs. It uses the good old convolution network inspired by the Nvidia Model used in their self-driving car.

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Extended-Kalman-Filter-for-Sensor-Fusion

Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.

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Advance-Lane-Detection

An Algorithm to detect the Lane by a autonomous car using image processing such as Sobel, Threshold and Hough Transform. the ROI is fit by calculating the radius of curvature by choosing three points on the lane and fittting a second order polynomial

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Behavioral-Clonning

This repository contains starting files for the Behavioral Cloning Project. In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle. We have provided a simulator where you can steer a car around a track for data collection. You'll use image data and steering angles to train a neural network and then use this model to drive the car autonomously around the track. We also want you to create a detailed writeup of the project. Check out the writeup template for this project and use it as a starting point for creating your own writeup. The writeup can be either a markdown file or a pdf document. To meet specifications, the project will require submitting five files: model.py (script used to create and train the model) drive.py (script to drive the car - feel free to modify this file) model.h5 (a trained Keras model) a report writeup file (either markdown or pdf) video.mp4 (a video recording of your vehicle driving autonomously around the track for at least one full lap) This README file describes how to output the video in the "Details About Files In This Directory" section.

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D-id_Streaming_Chatgpt

GenAI with Avatar

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GPS_to_Local_Coordinates

GPS coordinates to Local Coordinates Conversion

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Time-Series-Analysis

This is the first topic as I start my quest to learn Machine Learning. This Repository contains Time series Analysis and Forecasting

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Unscented-Kalman-Filter-for-Sensor-Fusion

Unscented Kalman Filter Project.The project "unscented Kalman filter" is based on the same structure as the extended Kalman filter. It uses a main file that calls a function called Process Measurement. Anything important happens in this function. The function is part of the class ukf.

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CarND-Path-Planning-Project

Create a path planner that is able to navigate a car safely around a virtual highway

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Model-Predictive-Control

CarND Term 2 Model Predictive Control (MPC) Project

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Pytorch_Projects

A playground containig various use cases of deep learnong such as style-transfer, Logistic Regression, etc

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sharathsrini.github.io

A website for my repository

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Transformation-and-Rotations

A playground for Coordinate transformations.

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