Trevor M Houchens

Title: Trevor M. Houchens and Aerial Vehicle Tracking

Introduction

Trevor M. Houchens is an inventor based in Cambridge, Massachusetts, and is associated with The Boeing Company. His patent work addresses the tracking of aerial vehicles using machine learning and uncertainty estimation.

Latest Patents

Houchens is named on 1 patent, titled “Aerial Vehicle Tracking Using Dynamic Aleatoric Uncertainty.” The invention describes a system that processes images of aerial vehicles through machine-learning subsystems. One subsystem extracts feature vectors, while another uses them to generate vehicle identification data, including coordinates, bounding-box dimensions, and dynamic aleatoric uncertainty covariance values. A recursive Bayesian estimator then filters the detected coordinates to estimate an aerial vehicle’s real-time location, which the system outputs.

Career Highlights

Houchens’s patent reflects work at the intersection of aerial vehicle tracking, computer vision, machine learning, and Bayesian estimation. The disclosed approach incorporates uncertainty estimates into the tracking process to support real-time location filtering.

Collaborations

Houchens is associated with The Boeing Company. Alyssa Bekai Rose is identified as a coworker.

Conclusion

Trevor M. Houchens’s patent presents a machine-learning-based approach to aerial vehicle tracking that combines image analysis, dynamic uncertainty estimation, and recursive Bayesian filtering.