Company Filing History:
5 out of 2,596 
1 out of 131,500 
Years Active: 2008-2025
Title: Camillo Jose Taylor: Innovator in Real-Time State Estimation and Target Tracking
Introduction
Camillo Jose Taylor is a prominent inventor based in Philadelphia, PA (US). He has made significant contributions to the fields of real-time state estimation and distributed target tracking, holding a total of 5 patents. His innovative work has implications for various applications, particularly in the realm of fast-moving object detection and tracking.
Latest Patents
One of Taylor's latest patents is titled "Systems and methods for real-time state estimation of fast-moving objects." This invention provides a method for predicting the location of a fast-moving object by utilizing event information from an event camera. The process involves generating a Binary Event History Image (BEHI) and using it as input for an event-based neural network to predict the object's location and time-to-collision (TTC). Another notable patent is "Distributed target tracking using self-localizing smart camera networks." This invention describes a system where multiple camera devices localize one another based on visibility, allowing for effective tracking of targets in a 3D environment.
Career Highlights
Throughout his career, Camillo Jose Taylor has worked with esteemed organizations such as the University of Pennsylvania and Samsung Electronics Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and research.
Collaborations
Taylor has collaborated with talented individuals, including Ziyun Wang and Fernando Cladera Ojeda. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Camillo Jose Taylor's contributions to innovation in real-time state estimation and target tracking demonstrate his expertise and commitment to advancing technology. His patents reflect a deep understanding of complex systems and a drive to improve object detection and tracking methodologies.