Company Filing History:
Years Active: 2025
Title: Innovations by Jake Guza in Autonomous Driving Technology
Introduction
Jake Guza is an accomplished inventor based in Lexington, MA (US). He has made significant contributions to the field of autonomous driving technology. His work focuses on enhancing the perception capabilities of deep neural networks used in autonomous vehicles.
Latest Patents
Jake Guza holds a patent titled "Ground truth data generation for deep neural network perception in autonomous driving applications." This innovative patent describes an annotation pipeline that produces 2D and/or 3D ground truth data for deep neural networks, particularly for autonomous or semi-autonomous vehicle perception networks. The process begins with capturing sensor data using various types of sensors, which are then synchronized to align frames representing a similar world state. The aligned frames are sampled and organized into a sequence of annotation scenes for labeling. The annotation project is modular, allowing tasks to be encoded into a labeling tool that assigns tasks to labelers and organizes the input order. During the annotation tasks, different types of sensor data are presented simultaneously, providing useful contextual information. Once all tasks are completed, the resulting ground truth data can be exported in various suitable formats. Jake Guza has 1 patent to his name.
Career Highlights
Jake Guza is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia focuses on advancing the capabilities of autonomous driving systems through innovative data generation techniques.
Collaborations
Jake collaborates with talented professionals in his field, including Tilman Wekel and Joachim Pehserl. Their combined expertise contributes to the development of cutting-edge technologies in autonomous driving.
Conclusion
Jake Guza's innovative work in ground truth data generation significantly enhances the perception capabilities of autonomous vehicles. His contributions are vital to the advancement of autonomous driving technology.