Space Apps
Awards
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Project Solutions
in response to
Near Earth Objects Machine Learning
Finalist
Wake up NEO...
“To look at the things, to record the details, and to hope that in the information thus obtained, may lie a clue to one or another of a poss
...
Minsk
,
Belarus
Nominee
Nominee
NEOFIT (Near Earth Object...
Say you feel like going stargazing (I mean, who doesn't) and feel a bit curious about Near Earth Objects... they are so close... they must b
...
Azua de Compostela
,
Dominican Republic
Nominee
Predicting False Positive...
The JPL Sentry system calculates impact probabilities for observed objects. Our idea is to apply a fully connected Neural Network to predict
...
Sarasota, FL
,
USA
Finalist
Asterion - CYA
Python library andweb application for analysis of asteroids on the subject of beingpotentially hazardous.Project provides aset of tools to a
...
Kirovograd
,
Ukraine
Nominee
Ascension
With many of the resources that NASA has provided us, we have dug through all of it and found exactly the pieces we needed to help provide a
...
Orlando, FL
,
USA
Nominee
Asteroid hunter
Firstly, we looked for the dataset over several NASA website and also NASA SPACE APPS's repository . These data weren't homogeneous so that
...
Murcia
,
Spain
Finalist
Deep Asteroid
Predictive model of NEOs’ trajectory using ‘Deep Learning’ and ‘TensorFlow’Near Earth Object (NEO) is, by definition, any small Solar System
...
Barcelona
,
Spain
Nominee
Serendipitous Stellar Occ...
Near Earth Objects (NEOs) are exceedingly difficult to find through conventional astronomy. With their small size and rapid movement, only t
...
Sydney
,
Australia
Nominee
Asteriod Detector
This solution uses computer vision to detect the presence, common morphology and closeness of asteroids to the earth, taking the earth's pos
...
Jos
,
Nigeria
Nominee
Machine Learning to the R...
Machine Learning is a field of computer science that works on previous data sets to produce reliable predictions.Thus, we use this technique
...
New Delhi
,
India
Nominee
Lucifer's Screwdriver
Lucifer's Screwdriver is a project created for the NASA Space Apps 2016challenge: "Near Earth Objects Machine Learning".This is a
...
Rochester, NY
,
USA
Nominee
Hunting NEOs using forest...
My solution will use image enhancement technique and Online Random Forest to detect NEOs in the space observation.
Chandigarh
,
India
Nominee
Avenge the Dinosaurs
Our project was two fold. The first was to visualize asteroid impacts over the last 1000 years, to help raise awareness of the treat by show
...
Dublin
,
Ireland
Nominee
Fly Me To The Asteroid
The potentially hazardous asteroids require space-based hardware to locate and track, and we propose a system of space radio telescopes that
...
Ohrid
,
Macedonia
Nominee
#asteroidWeAreComingAfter...
Presented the challenges in tracking/characterization of the Near Earth Objects (NEO), we have attempted to accelerate the speed of characte
...
York
,
England
Project ARC
Thanks to a constellation of 4 cubesats in a GEO orbit, we can detect unidentified objects that could be classified as asteroids, potentiall
...
Rome
,
Italy
De-orbiting debris
Clean space with magnetic fields
Napoli
,
Italy
NN on MPCOrg Data
Rather than calculating the orbits from keplerians I trained a NN to guess if they were PHAs.
New York, NY
,
USA
CNN - RBC
In this challenge, we use recent advance machine learnings techniques ranged from gradient boosting to the deep lea
...
Ho Chi Minh City
,
Vietnam
NEO Watcher
NEO Watcher helps visualize Potentially Hazardous Asteroids and uses machine learning to try to predict and plot future orbits.
New York, NY
,
USA
Mytheorite
The next big thing...
La Marsa
,
Tunisia
TALOS
WHY TALOS?In Greek mythology, Talos or Talon as a giant automaton made of bronze to protect Europe in Crete frompirates and invaders. Now th
...
La Paz
,
Bolivia
Astro Science
We are going to make an application that calculates the trajectories of NEOs and predicts if there could be any threat to Earth.
Sofia
,
Bulgaria
Asteroid Forest
Using Machine Learning we built a model that uses Random Forests for classifying asteroids as hazardous and non-hazardous. It gives nearly 7
...
Skopje
,
Macedonia
Dynos
We have worked on an MVP of a system that would identify NEOs on a series of images, and using orbit information be able to tag them on imag
...
Buenos Aires
,
Argentina
Space Tracker
We are working in produce a model using Machine Learning to calculate the trajectory of the NEO's and evaluate if this is a PHA or not, tryi
...
Cartago
,
Costa Rica
ADAM
ADAM - Asteroid Detection Analysis and Mining. We are designing a mission concept for a net of nanosatelites in L2, which will support the S
...
Lima
,
Peru
Machines Here For Us
we wished that we could present ourselves but we had problems encountered our team we couldn't be there but we felt like we need to share ou
...
Cairo
,
Egypt
Neural network astrometry...
Due to the existence of thousands of asteroids whose orbits are close to the planet Earth, is not easy to identify each of these asteroids m
...
Rosario
,
Argentina
Morpheus AR - Augmenting ...
We present an augmented reality app for mobile devices that assists users in confirming prospective NEOs. When the user opens the app, the l
...
Orlando, FL
,
USA
Toutatis
Given the volume of deep space imagery gathered by telescopes, astronomers and space enthusiasts all around the world, the task of detecting
...
Lyon
,
France
World Wide Astronomy Netw...
ASTRONOMY OUTREACH OF KOSOVO’s PROJECT NASA SPACE APPS CHALLENGE 2016 /NEO-S “WORLD WIDE ASTRONOMY NEWTOWORK” I’m Pranvera Hyseni, foun
...
Pristina
,
Kosovo
PHA Predictions
Random Forest/Logistic Regression models used.
Everywhere
,
Planet Earth
Project Heimdallr
Like the Norse God Heimdallr watching for the onset of Ragnarok, our solution strives to be a guardian for all mankind, helping us avoid the
...
Cluj-Napoca
,
Romania
NeoN
Our solution uses Machine Learning model to detect potentially hazardous NEOs from its orbital data. It also helps in visualizing hot spots
...
Cairo
,
Egypt
Guardians of the Earth
We are working on the identification of NEA's physical characteristics in order to predict consequences of impact, and predict damage scale.
...
Kiev
,
Ukraine
Machine Automated Resolut...
When an observer on the Earth captures some cartesian orbital elements there is a need to easily convert those elements in to keplerian elem
...
San Francisco, CA
,
USA
NEAs classification
we wanted to detect potentially hazardous asteroids from the NEAs using machine learning techniques, so we used a specific learning algorith
...
Ismailia
,
Egypt
NEOs Busters
Using the parallax methods and machine learning to characterize the Near Earth Objects.
Napoli
,
Italy
NEO BRD Concept Note
Model using NASANEO data to produce a 3D model modified as the Atari 2600 Game “Asteroids” whichGoogle Deepmind uses to target/ confirm NEOs
...
Everywhere
,
Planet Earth
NEOSense
Integrating existing data source about NEO, visualize them properly to allow human-machine learning detection of potential harmful NEO impac
...
Kuala Lumpur
,
Malaysia
NEO MOSAIC
NeoMosaic is a service for astronomers, amateurs and professionals, who like to check their pictures before send them with relative coordina
...
Torino
,
Italy
Asteroid Tracker
project for the competition #NASA_APPS_CHALLENGEProject Name: asteroid trackerours goal and detected the asteroidyou're probably wondering h
...
Blida
,
Algeria
Discover the Night
Discover the Night is an app which connects users to the objects that are approaching Earth. Users can select future, past and current dates
...
Honolulu, HI
,
USA
Glass Eye
We pulled in the Minor Planet Center MPCORB data of asteroids that they have been tracking over the years. Once we
Cleveland, OH
,
USA
ROV
Do you know that the deepest point they reached with a submarine in the ocean is 11 Km , Do you know that 5% of the oceans is discovered JUS
...
Amman
,
Jordan
Aestroid explorer
A VR experience that allow users to explore the nearby asteroids floating around the earth .
Ariana
,
Tunisia
Nano-space Probe for NEOs...
This project is a nano-space probe, a sapce based hadware to locate and track NEOs objects, using different methods of Machine Learning to s
...
Ariana
,
Tunisia
PHOBOS
Using Genetics algorithm with the orbital parameters as the equivalent of chromosomes, the complete set of which compose an individual: the
...
Panama
,
Panama
Machine Learning driven C...
An exploration of various supervised classification models to determine Potentially Hazardous Asteroid (PHA), Near Earth Asteroid (NEA), or
...
Irvine, CA
,
USA
Mini-Defense Base
It's a mini-base, that should be sent to space in case of detection of Asteroid on its way to Earth, or to any other solar planet. It contai
...
Ariana
,
Tunisia
Neo early warning system
A truly effective system for NEO object detection requires both efficient data capture systems and effective ways to analyze the data, and c
...
Linkoping
,
Sweden