Company Filing History:
2 out of 131,500 
1 out of 2,596 
Years Active: 2024-2025
Title: Innovations by Fernando Cladera Ojeda
Introduction
Fernando Cladera Ojeda is an accomplished inventor based in Philadelphia, PA. He holds 2 patents that showcase his expertise in real-time state estimation and dynamic vision filtering technologies. His work has significant implications for the fields of robotics and computer vision.
Latest Patents
One of his 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 fast-moving objects by utilizing event information from an event camera. The method generates a Binary Event History Image (BEHI) and employs an event-based neural network to predict the object's location and time-to-collision. Additionally, it includes a mechanism to actuate a mechanical catching device based on the predicted location.
Another notable patent is "Dynamic vision filtering for event detection." This detection system incorporates a filter and a detector that work together to reduce the bandwidth of input packets from dynamic vision sensors. The system maintains effective detection capabilities while transmitting compressed data packets to a detector, which can activate alarms and notifications if an object of interest is detected.
Career Highlights
Fernando has worked with prominent organizations such as Samsung Electronics Co., Ltd. and the University of Pennsylvania. His experience in these institutions has contributed to his innovative approach to technology and invention.
Collaborations
He has collaborated with notable individuals in his field, including Anthony Robert Bisulco and Ibrahim Volkan Isler. These partnerships have likely enriched his work and expanded the impact of his inventions.
Conclusion
Fernando Cladera Ojeda is a significant figure in the realm of innovation, particularly in the areas of real-time state estimation and dynamic vision technologies. His contributions continue to influence advancements in robotics and computer vision.