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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Paul Vernaza

USPTO Granted Patents = 19

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 25(Granted Patents)


Company Filing History:

goldMedal16 out of 35,658 
 
Nec Corporation
 patents
silverMedal3 out of 272 
 
Aurora Operations, Inc.
 patents

Years Active: 2019-2025

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19 patents (USPTO):Explore Patents
1. 12444247 - Estimating autonomous vehicle performance metrics in real world from simulation scenarios (2025-10-14),
2. 12415541 - Lane change architecture for autonomous vehicles (2025-09-16),
3. 12415538 - Systems and methods for pareto domination-based learning (2025-09-16),
4. 11462112 - Multi-task perception network with applications to scene understanding and advanced driver-assistance system (2022-10-04),
5. 11189171 - Traffic prediction with reparameterized pushforward policy for autonomous vehicles (2021-11-30),
6. 11049265 - Balancing diversity and precision of generative models with complementary density estimators (2021-06-29),
7. 10832084 - Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching (2020-11-10),
8. 10762359 - Computer aided traffic enforcement using dense correspondence estimation with multi-level metric learning and hierarchical matching (2020-09-01),
9. 10739773 - Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting (2020-08-11),
10. 10705531 - Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting (2020-07-07),
11. 10679075 - Dense correspondence estimation with multi-level metric learning and hierarchical matching (2020-06-09),
12. 10678257 - Generating occlusion-aware bird eye view representations of complex road scenes (2020-06-09),
13. 10678256 - Generating occlusion-aware bird eye view representations of complex road scenes (2020-06-09),
14. 10595037 - Dynamic scene prediction with multiple interacting agents (2020-03-17),
15. 10402983 - Surveillance system using deep network flow for multi-object tracking (2019-09-03),

Title: The Innovative Contributions of Paul Vernaza in Autonomous Vehicle Technology

Introduction

Paul Vernaza is an accomplished inventor based in Sunnyvale, CA, known for his innovative contributions to autonomous vehicle technology. With a strong portfolio of 19 patents, he has made significant strides in enhancing the performance metrics and control mechanisms of self-driving vehicles.

Latest Patents

Among Vernaza's latest patents are two notable inventions that showcase his engineering prowess:

1. Estimating Autonomous Vehicle Performance Metrics in Real World from Simulation Scenarios – This patent outlines a sophisticated method for evaluating the performance of autonomous vehicles. It involves generating a set of simulation scenarios, identifying features correlated with performance metrics, and using a machine learning model to estimate expected performance values based on simulation executions.

2. Lane Change Architecture for Autonomous Vehicles – In this patent, Vernaza describes a method for controlling an autonomous vehicle by creating dynamic cost profiles using perception data and map data. This approach allows for an effective evaluation of candidate trajectories for lane changes, ensuring that the vehicle makes informed decisions while navigating multilane roadways.

Career Highlights

Vernaza has worked with reputable companies, including Nec Corporation and Aurora Operations, Inc., where he has applied his expertise in autonomous systems. His innovative approaches have led to significant advancements in the field, contributing to the evolution of self-driving technology.

Collaborations

Throughout his career, Vernaza has collaborated with talented professionals such as Manmohan Chandraker and Samuel Schulter. These partnerships have fostered a creative environment, leading to the development of groundbreaking technologies in the automotive sector.

Conclusion

Paul Vernaza remains a prominent figure in the realm of autonomous vehicle innovations. His extensive patent portfolio and collaborative spirit position him as a key contributor to the future of transportation technology. The research and inventions stemming from his work continue to pave the way for safer and more efficient autonomous driving experiences.

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