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madgwickahrs

Arduino implementation of the MadgwickAHRS algorithm

mesh_to_pointcloud

Conversion of mesh files to PCL pointclouds using OpenSceneGraph

minihawk-vtol

Artwork for the MiniHawk VTOL, a 3D-Printed Tricopter/Fixed-wing hybrid aircraft.

ml-hacksrpint

ML-HACKSPRINT DSC BVP tensorflow watch party hackathon code

mlnd-capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

mono-depth-and-optical-flow-using-deep-learning

monovo-python

A simple monocular visual odometry project in Python

mpu-library

slightly tweaked version of jrowberg's awesome mpu6050 library. Just a few tiny changes.

multicamerapose

Multi Camera Pose Estimation

multirotordynamics

Python code for multirotor dynamics

mushr

MuSHR: Multi-agent System for non-Holonomic Racing

mushr-sdsandbox

mushr_unity_sim

nav_filter

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

neuralbki

Neural Network Bayesian Kernel Inference.

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems.

nn-svg

Publication-ready NN-architecture schematics.

nnc

A framework for neural network control of dynamical systems over graphs.

nonlinear-control-theory---6023

LaTeX notes of ASEN6023 at Colorado Boulder -- Taught by Dr. Dale Lawrence. Images and figures are hand drawn, and will be added at a later date.

npnt_host

open-assistant

opendronevps

A virtual positioning system majorly focusing on stabilizing drones using RANSAC and SIFT algorithm

openlander

free-to-use landing-zone detection for UAV using Luxonis cameras and segmentation AI

open_street_map

Experimental packages for ROS access to Open Street Map information

ouster_decoder

A low latency decoder for Ouster Lidars

path_optimizer_2

Optimization-based real-time path planning for vehicles.

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pinns

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.