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For the Inventor, By the Inventor

Milpitas, CA, United States of America

Anurag Ganguli

This inventor holds 38 USPTO granted patents and 10 published patent applications and 4 EPO patents, primarily in Autonomous Vehicle Technology. Top assignees: Plusai Limited, Palo Alto Research Center Inc., Xerox Corporation. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anurag Ganguli. Retrieved from https://idiyas.com/inventor/anurag-ganguli

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

USPTO Granted Patents = 38 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.5

ph-index = 6

Forward Citations = 172(Granted Patents)


Location History:

  • Milpitas, CA (US) (2017 - 2023)
  • Saratoga, CA (US) (2022 - 2024)

Company Filing History:

goldMedal26 out of 166 
 
Plusai Limited
 patents
silverMedal11 out of 2,079 
 
Palo Alto Research Center Inc.
 patents
bronzeMedal1 out of 24,259 
 
Xerox Corporation
 patents

Years Active: 2017-2026

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Areas of Expertise:
Machine Learning
Sensor Fusion
Navigation Systems
LIDAR
Depth Estimation
Traffic Management
Data Collection
Vehicle Conditions
Autonomous Driving
Collision Avoidance
Stereo Cameras
Precipitation Detection
38 patents (USPTO):Explore Patents
1. 12700308 - Automatic navigation based on traffic management vehicles and road signs (2026-08-04),
2. 12664690 - Apparatus and methods to calibrate a stereo camera pair (2026-06-23),
3. 12565237 - Off-board perception based on sequence to sequence sensor data generation (2026-03-03),
4. 12340597 - Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model (2025-06-24),
5. 12211231 - Detection of on-road object position using markers (2025-01-28),
6. 12198482 - System and method for determining vehicle component conditions (2025-01-14),
7. 12093680 - Methods and apparatus for automatically labeling data processing events in autonomous driving vehicles via machine learning (2024-09-17),
8. 12046137 - Automatic navigation based on traffic management vehicles and road signs (2024-07-23),
9. 12019448 - Mapping and detection for safe navigation (2024-06-25),
10. 11999382 - Methods and apparatus for causing a lane change maneuver of an autonomous vehicle (2024-06-04),
11. 11906623 - Velocity estimation using light detection and ranging (LIDAR) system (2024-02-20),
12. 11836994 - Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model (2023-12-05),
13. 11763492 - Apparatus and methods to calibrate a stereo camera pair (2023-09-19),
14. 11720343 - Methods and apparatus for automatically labeling data processing events in autonomous driving vehicles via machine learning (2023-08-08),
15. 11654938 - Methods and apparatus for disengaging an autonomous mode based on lateral error of an autonomous vehicle (2023-05-23),

Title: Inventor Anurag Ganguli - Revolutionizing Technology

Introduction: Anurag Ganguli, a visionary inventor based in Milpitas, CA, is renowned for his groundbreaking contributions to the field of technology.

Latest Patents: Anurag Ganguli holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his innovative mindset and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Anurag Ganguli has worked with leading tech companies, spearheading projects that have redefined industry standards and pushed the boundaries of technological advancements.

Collaborations: Throughout his career, Anurag Ganguli has collaborated with top research institutions and universities, fostering a culture of innovation and knowledge-sharing to drive progress in the tech sector.

Conclusion: Anurag Ganguli's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

Profile summary based on public USPTO records.
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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