Palo Alto, CA, United States of America

Katarina Bouma


Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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8 patents (USPTO):Explore Patents

Title: Innovations by Katarina Bouma in Object Detection Technology

Introduction

Katarina Bouma is an accomplished inventor based in Palo Alto, CA. She has made significant contributions to the field of object detection, holding a total of 8 patents. Her work focuses on improving the accuracy and efficiency of object detection systems through innovative training methods.

Latest Patents

Katarina's latest patents include groundbreaking methods for training object detection systems. One notable patent describes a method for estimating the location of a first object in an environment using a density cluster map generated from multiple images. This method also involves generating negative training samples based on the estimated location of the first object, which helps in refining the detection capabilities of the system. Another patent presents a method for generating both positive and negative training samples by identifying false positive images of an object. This approach enhances the training process for object detection systems, making them more reliable and effective.

Career Highlights

Katarina currently works at the Toyota Research Institute, Inc., where she continues to push the boundaries of technology in the automotive sector. Her innovative approaches to object detection are vital for the development of advanced driver-assistance systems and autonomous vehicles.

Collaborations

Katarina collaborates with talented individuals such as Allison Thackston and Laura Stelzner, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Katarina Bouma's contributions to object detection technology exemplify the impact of innovative thinking in the field of artificial intelligence. Her patents not only advance the technology but also pave the way for safer and more efficient autonomous systems.

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