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For the Inventor, By the Inventor

Erlangen, Germany

Elektrobit Automotive Gmbh


USPTO Granted Patents = 48

% Expired Patents = 2.1


Forward Citations = 118

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79 inventors (with patents filed for the assignee):

goldMedal Florian Bartels (5 out of 5 patents)

silverMedal Sebastian Ohl (4 out of 4 patents)

bronzeMedal Silvio Iaccarino (3 out of 3 patents)

4.  Thomas Mayrhofer (2 out of 2 patents)

5.  Sebastian Fischer (2 out of 2 patents)

6.  Holger Dormann (2 out of 2 patents)

7.  Claus Stellwag (2 out of 2 patents)

8.  Sorin Mihai Grigorescu (2 out of 2 patents)

9.  Peter Asemann (2 out of 2 patents)

10.  Uwe Hildebrand (2 out of 2 patents)

11.  Sorin Mihai Grigorescu (2 out of 2 patents)

12.  Fabian Kirsch (1 out of 5 patents)

13.  Stefan Christmann (1 out of 5 patents)

14.  Georg Gaderer (1 out of 3 patents)

15.  Daniel Kerk (1 out of 2 patents)


Core Competencies:
Convolutional Neural Network
Generative Adversarial Network
Autonomous Vehicles
Driver Assistance Systems
Sensor Data Processing
Navigation Systems
Traffic Sign Recognition
Collision Avoidance
Environmental Data
Position Determination
Data Selection
Geometric Data Generation

48 patents:

1. 12579442 - Training of a convolutional neural network (2026-03-17),
2. 12438849 - Face anonymization using a generative adversarial network (2025-10-07),
3. 12393742 - Customization of a processing unit to protect against unauthorized remote-code execution (2025-08-19),
4. 12250112 - Reproducing a state of a system and a network upon occurrence of an error (2025-03-11),
5. 12118366 - Method, computer program and apparatus for performing a boot process for a system (2024-10-15),
6. 12117958 - Computing device with safe and secure coupling between virtual machines and peripheral component interconnect express device (2024-10-15),
7. 12105513 - Deep learning based motion control of a group of autonomous vehicles (2024-10-01),
8. 12093041 - Processing sensor data in a motor vehicle (2024-09-17),
9. 11989435 - Re-partitioning of a flash memory device (2024-05-21),
10. 11906542 - System for checking an inertial measurement unit (2024-02-20),
11. 11899101 - Predicting the course of a road on the basis of radar data (2024-02-13),
12. 11782702 - Generation of code for a system (2023-10-10),
13. 11741716 - Processing environmental data of an environment of a vehicle (2023-08-29),
14. 11620144 - Qualifying a device driver for a device (2023-04-04),
15. 11613266 - Monitoring a component of a control system for a means of transport (2023-03-28),
Company Overview
Elektrobit Automotive GmbH, based in Erlangen, Germany, specializes in advanced automotive software solutions. The company focuses on developing technologies that enhance autonomous vehicle capabilities, including driver assistance systems and navigation solutions. Their expertise encompasses face anonymization, generative adversarial networks, and deep learning, enabling sophisticated sensor data processing and traffic sign recognition. Elektrobit's innovations aim to improve safety and efficiency in modern transportation systems.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 20 2026

48 Patents

#9 in Erlangen

#1,107 in Germany

#14,561 in the World

Erlangen, DE
Erlangen, Germany

Elektrobit Automotive Gmbh

Forward Citations = 118

79 inventors:

goldMedal Florian Bartels (5 out of 5 patents)

silverMedal Sebastian Ohl (4 out of 4 patents)

bronzeMedal Silvio Iaccarino (3 out of 3 patents)

4.  Thomas Mayrhofer (2 out of 2 patents)

5.  Sebastian Fischer (2 out of 2 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Elektrobit Automotive Gmbh. Retrieved from https://idiyas.com/company/elektrobit-automotive

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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