For the Inventor, By the Inventor

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Pittsburgh, PA, United States of America

Aurora Operations, Inc.

USPTO Granted Patents = 347

CIPO Patents = 5

EPO Patents = 55

Trademarks = 5

Forward Citations = 354

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352 inventors (with patents filed for the assignee):

Sen Lin (41 out of 61 patents)

Andrew Steil Michaels (33 out of 47 patents)

Raquel Urtasun (32 out of 111 patents)

4. Stephen C Crouch (27 out of 65 patents)

5. Zeb William Barber (25 out of 46 patents)

6. James Andrew Bagnell (24 out of 40 patents)

7. Ethan Eade (21 out of 63 patents)

8. John Paxton (20 out of 30 patents)

9. Woonghee Han (20 out of 21 patents)

10. Emil Kadlec (17 out of 28 patents)

11. Albert Shane (17 out of 18 patents)

12. Edward Joseph Angus (16 out of 34 patents)

13. Randy Ray Reibel (13 out of 32 patents)

14. Nathaniel Gist, Iv (12 out of 14 patents)

15. James Ferrara (12 out of 13 patents)

Core Competencies:

LIDAR System

Autonomous Vehicles

Vehicle Control

Motion Forecasting

Object Detection

Sensor Systems

Traffic Light Classification

Image Localization

Environmental Object Classification

Beam Steering

Optical Components

Machine Learning

347 patents: Sort by Forward Citations

1. 12769313 - Planar-beam, light detection and ranging system (2026-10-20),

2. 12768971 - Manufacturing process for semiconductor-based LIDAR sensor system with improved optical alignment (2026-10-20),

3. 12767149 - Object interaction prediction systems and methods for autonomous vehicles (2026-10-20),

4. 12761655 - Remotely engaging autonomous vehicles (2026-10-13),

5. 12761367 - Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data (2026-10-13),

6. 12761359 - Ground intensity LIDAR localizer (2026-10-13),

7. 12759584 - Systems and methods for servicing vehicle messages (2026-10-13),

8. 12748213 - Longitudinal bias correction in autonomous vehicles (2026-09-29),

9. 12748194 - Drive control for a scanner of a LIDAR system (2026-09-29),

10. 12746945 - Evaluating driving data using autonomous vehicle control system (2026-09-29),

11. 12746935 - Systems and methods for interaction-based trajectory prediction (2026-09-29),

12. 12743662 - Unified boundary machine learning model for autonomous vehicles (2026-09-22),

13. 12743093 - Autonomous vehicle remote teleoperations system with virtual path suggestion constraints (2026-09-22),

14. 12743085 - Visual language models for perception (2026-09-22),

15. 12742854 - Vehicle radar sensor utilizing non-uniform frequency modulated continuous wave (FMCW) chirps (2026-09-22),

Company Overview

Aurora Operations, Inc., based in Pittsburgh, PA, specializes in advanced LIDAR technology, focusing on applications in autonomous vehicles. The company develops sophisticated sensor systems that enhance vehicle control, enabling precise motion forecasting and object detection. Their innovations also include traffic light classification and image localization, contributing to safer and more efficient transportation solutions. Aurora Operations is dedicated to advancing the capabilities of autonomous systems through cutting-edge research and development in LIDAR applications.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

347 Patents

#10 in Pittsburgh, PA

#54 in Pennsylvania

#1,304 in US

#2,626 in the World

Pittsburgh, PA, United States of America

Aurora Operations, Inc.

Forward Citations = 354

352 inventors:

Sen Lin (41 out of 61 patents)

Andrew Steil Michaels (33 out of 47 patents)

Raquel Urtasun (32 out of 111 patents)

4. Stephen C Crouch (27 out of 65 patents)

5. Zeb William Barber (25 out of 46 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Aurora Operations, Inc.. Retrieved from https://idiyas.com/company/aurora-operations

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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