karanchawla/visual_navigation

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Created almost 7 years ago
Updated almost 2 years ago

karanchawla/visual_navigation

karanchawla

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Code for end to end deep learning based visual navigation for navigating agricultural fields.

GPS_IMU_Kalman_Filter

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

Monocular-Visual-Inertial-Odometry

This contains the code(in development) for monocular visual odometry of a quadrotor. The visual data from the monocular camera is fused with onboard IMU to develop indoor control and navigation algorithms.

Airfoil-Optimization

This repository contains code development for the 4th credit project for AE416. The aim of the project is to compare different optimization algorithms in the context of airfoil optimization.

motion-planning-playground

Playground for motion planning and controls algorithms.

AerialRobotics-Coursera

My code for the Coursera course by University of Pennsylvania called Aerial Robotics. https://www.coursera.org/learn/robotics-flight/home/welcome

Computation-Motion-Planning

Assignments for the Coursera course by UPenn

interviewCake

My solutions to the problems from interviewcake.com

CallistoRover

Repository for the software for control and autonomous navigation of UGV.

RRTSim

Implementation of the famous RRT algorithm using C++ and qt5.

DeepLearningSpecialization-Coursera

Deep Learning Specialization by Andrew Ng on Coursera

Jupyter Notebook

Camera_calibration

Camera calibration for the webcam.

ROS

Robot-Dynamics-and-Control

Code for the lab work for ME446 along with the final project

static_vector

A high-performance, fixed-capacity vector implementation for C++17 with STL-compatible interface and no dynamic memory allocation.

sensei

Sensei is an open-source Python toolbox for simulating integrated navigation systems and performing analysis to identify, model, and estimate major sources of error in sensor data.

learning_langchain

Jupyter Notebook

sb-voice-dev

ProgrammingPractice

This repository contains my implementations of common algorithms and data structures. It also includes some competitive coding problems solutions.