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Kasina Jyothi Swaroop photo

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followers: 18.0 following: 59.0 repos: 53.0 gists: 0.0

Name: Kasina Jyothi Swaroop

Type: User

Company: IIT ISM Dhanbad

Bio: I am K Jyothi Swaroop, pursuing my Bachelors degree in Engineering at IIT(ISM) Dhanbad. I am a Robotics and AI Enthusiast.

Twitter: jyothi_kasina

Location: Dhanbad, Jharkhand

Hi there 👋

Kasina Jyothi Swaroop's Projects

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

awesome-ros-mobile-robot icon awesome-ros-mobile-robot

😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manipulation)

awesome-slam icon awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

awesome-visual-slam icon awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

cpp_practice icon cpp_practice

This repository is being used to do basic CPP practice.

csgraduateapps icon csgraduateapps

A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).

hacktoberfest2020 icon hacktoberfest2020

An example repository to learn how to contribute to open source for Hacktoberfest 2020

jetson-nano-self-driving-car icon jetson-nano-self-driving-car

This is a project which uses deep Convolutional Neural Networks to steer a self driving car powered by Jetson Nano and Arduino UNO

lio-sam icon lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

ml19-20w icon ml19-20w

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering

monodepth2 icon monodepth2

[ICCV 2019] Monocular depth estimation from a single image

object-follower-robot icon object-follower-robot

This Repository contains the code and the video recording for the Object Following Robot created on the Gazebo Model Editor. The SDF and the config file are automatically generated from Gazebo and code for pluggins was added.

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