Munich, Germany

Ozan Tonkal

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2021-2026.

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 10.3

ph-index = 2

Forward Citations = 45(Granted Patents)


Company Filing History:


Years Active: 2021-2026

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Ozan Tonkal: Innovator in Autonomous Vehicle Technology

Introduction

Ozan Tonkal is a prominent inventor based in Munich, Germany. He has made significant contributions to the field of autonomous vehicle technology, holding a total of 4 patents. His work focuses on enhancing the capabilities of vehicles to navigate safely and efficiently.

Latest Patents

One of Ozan's latest patents involves the real-time detection of lanes and boundaries by autonomous vehicles. In this innovation, sensor data representative of an image from a vehicle's field of view is received and applied to a machine learning model. The model computes a segmentation mask that represents portions of the image corresponding to lane markings on the driving surface. By analyzing the segmentation mask, the system determines the types of lane markings and generates lane boundaries through curve fitting. The data representing these lane boundaries is then sent to a vehicle component to assist in navigation.

Career Highlights

Ozan Tonkal is currently employed at Nvidia Corporation, a leading company in the field of artificial intelligence and graphics processing. His work at Nvidia focuses on developing advanced technologies that improve the functionality of autonomous vehicles.

Collaborations

Ozan collaborates with talented individuals such as Chia-Chih Chen and Xin Liu, who contribute to the innovative projects at Nvidia Corporation.

Conclusion

Ozan Tonkal's contributions to autonomous vehicle technology demonstrate his commitment to innovation and safety in transportation. His patents reflect a deep understanding of machine learning and its application in real-world scenarios.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
Loading…