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Autonomy Technology Research Center Summer Program

Primary Research Areas of Focus

  1. Multi-Domain Autonomous Sensing
  2. Radio Frequency (RF) Sensing
  3. Electro-Optical (EO) Sensing
  4. Spectrum Warfare
  5. Trusted and Resilient Mission Systems
  6. Enabling Sensor Devices and Components

Recent Research Topics

  • Joint Measured and Synthetic Data Training for CNN-Based SAR Target Classifier
  • Deep Learning Model-based Algorithm for SAR ATR
  • High-Performance Multi-Agent Based CNN Systems for SAR Feature Extraction
  • Toward morGAN: Modern Object Recognition using GANs
  • Siamese and Triplet Networks for Measuring Quality of Synthetic SAR Data
  • One Shot Learning using Siamese Neural Networks
  • GANs for EO Illumination
  • Generative Adversarial Networks to Close SAR Synthetic/Measurement Gap
  • BicycleGAN for Improving Synthetic SAR Data
  • Convolutional Sparse Representations of 3D LADAR Data for Robust Classification
  • Sparsity-Based SAR ATR: A Preliminary Study
  • Sparsity-based Interferometric SAR
  • Back Projection to 3D Probabalistic Electro Optic Model
  • SAR ATR Performance Validation of Synthetic and Measured data
  • Score Estimation of Klander Data using Boosting Algorithms
  • Articulating CAD Models
  • Generating a Hybrid and Fused Scale Model, Measured, and Synthetic Data Set
  • Target Recognition of CAD Model Fidelity
  • Material Characterization in the Microwave Spectrum
  • Model-in-the-Loop Waveform Optimization for Amplifiers
  • Cognitive Radar Algorithms for Waveform Parameter Adaptation using Software-Defined Radar
  • Multi-Waveform STAP with Embedded Communications
  • Narrowband Imaging of Rotating Objects
  • Using LMS to Process Passive Noise Radar Data
  • Cramer-Rao Bounds for Direction Finding
  • Statistical Based Frequency Hopping Pattern Detection
  • Neural Net Feature Space Enhancement for Open Set Classification
  • Reinforcement Learning and Generalization in Unknown Environments
  • Simulation of Detection with Distributed Infrasonic Sensors
  • Bistatic SAR Integration and Experimentation in EW Simulation
  • Small UAV Vulnerability Study
  • Goal-Driven Cognitive Algorithmic Processing for EW
  • Environment-Robust LWIR Hyperspectral Change Detection
  • Hyperspectral Image Creation using GANs
  • SensorCraft
  • Robust Recognition for 3D LADAR
  • Extracting Anomolous Patterns from Movement Data
  • Spectral Clustering for Directed Graphs
  • Ledoit-Wolf covariance estimation for STAP
  • Machine Learning Models for Transfer Learning Applications
  • Manifold Transfer Learning and Deep Network Fine-Tuning for EO Satellite Images
  • Capsules vs. ConvNets
  • Temporal Event Detection
  • Multi-Task Semantic Video Captioning in the Wild & Attacks Against Model-based Text Transcription
  • Ground Truthing and Exploiting WAMI
  • GAN-based Superresolution of Aircraft Satellite Images
  • Signal Modeling and Optimal Partitioning
  • Gaussian Mixture Models for DeepNav
  • DeepFilter: Integrating sequential outputs of deep networks
  • Scalability of DeepNav
  • Capsule Networks, Deepnav
  • Improvements for SLAM Benchmarking
  • Feasibility Study of Eye Gaze Assisted EO Truthing
  • Practical particle filter sampling using an observation estimate
  • α-KS Goodness of Fit for Interacting Multiple Model Testing
  • Conservative PDFs and Data Fusion Applications
  • Verifying the Uncertainty of PoseNet Outputs
  • Simultaneous Localization and Mapping in Mobile Robots
  • Multisensor Fusion Data Collection System
  • Automatic Covariance Calibration of Uncharacterized Sensor for Multisensor/Multitarget Tracking and Fusion
  • Model-Assisted Multi-Target Tracking with Simultaneous Sensor Calibration
  • Learning and Evaluating Deep Features for Data Association
  • Contextual Refinement for Semantic Image Segmentation
  • Probabilistic Reasoning for Decision and Control of UAVs
  • Probabilistic Reasoning with SNNs and the NEF
  • Biological Systems and Their Application in Robotics
  • Complex Algorithm Assessment on Reconfigurable Devices
  • Integration of ROS with the TurtleBot 2
  • Detecting and Analyzing Anomalies with Topological Data Analysis
  • Comparing Multiple Synthetic Predictors
  • Efficient J2K Image Compression for Low SWaP Devices
  • Real Time Kinematic GNSS Receiver Network
  • Spatial Heterodyne Imaging systems

Brian Rigling, director, ATR Center

Kettering Laboratories
300 College Park
Dayton, Ohio 45469 - 0232