@inproceedings{ZWPXKlta18,
    author = {Ying Zhao and Richard Wu and Andrew Polk and Matthew Xi and Tony Kendall},
    title = {Big Data and Deep Learning Models for Automatic Dependent Surveillance Broadcast (ADS-B)},
    booktitle = {Proceedings of the AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy},
    pages = {111--114},
    year = {2018},
    abstract = {ADS-B functions with satellite (GPS) rather than radar technology to more accurately observe and track air traffic. Aircraft equipped with an ADS-B Out transmitter sends position, altitude, heading, ground speed, vertical speed, call sign, and other aircraft information to a network of ground stations that relays the information to air traffic controllers and other aircraft. Our work in progress applies various big data tools and deep learning models such as convolutional neural networks to process and use the ADS-B big data to predict if a flight is commercial or military.}
}