Name: Sharath Srinivasan
Type: User
Company: @infosys
Bio: 🤖 Robotics Engineer |
🧠 Deep Learning Enthusiast | 🌐 5G & Autonomous Systems
Let's collaborate and innovate in the world of autonomous systems and robot
Location: Düsseldorf, Germany
Blog: https://sharathsrini.weebly.com/
Sharath Srinivasan's Projects
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
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.
Create a path planner that is able to navigate a car safely around a virtual highway
GenAI with Avatar
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.
GPS coordinates to Local Coordinates Conversion
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
A Lane Detection program that implements Hough Lines and Canny Edge Detection from the OpenCV library of Python-3
CarND Term 2 Model Predictive Control (MPC) Project
A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.
Explorations of Using Python to play Grand Theft Auto 5.
A playground containig various use cases of deep learnong such as style-transfer, Logistic Regression, etc