Lena M Downes

Title: Lena M. Downes and Aerial Vehicle Tracking

Introduction

Lena M. Downes is an inventor associated with The Boeing Company and based in Portland, Maine. Her patent work addresses methods for tracking aerial vehicles using machine learning and dynamic uncertainty estimation.

Latest Patents

Downes is named on 1 patent: “Aerial Vehicle Tracking Using Dynamic Aleatoric Uncertainty.” The invention describes a system that processes images of aerial vehicles through machine-learning subsystems to identify vehicles and estimate their coordinates, bounding-box dimensions, and dynamic uncertainty covariance values. A recursive Bayesian estimator then filters the detected coordinates to determine a vehicle’s real-time location, which the system outputs.

Career Highlights

Downes’s patent reflects work at the intersection of computer vision, machine learning, and aerial vehicle tracking. The disclosed approach combines image-based detection with uncertainty-aware estimation to produce filtered location data.

Collaborations

The patent lists Alyssa Bekai Rose and Sildomar T. Monteiro among Downes’s coworkers. Her professional association with The Boeing Company provides the organizational context for this invention.

Conclusion

Lena M. Downes’s patent contribution focuses on improving aerial vehicle tracking by combining machine-learning detection with dynamic uncertainty estimation and Bayesian filtering.