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For the Inventor, By the Inventor

Fremont, CA, United States of America

Hariprasad Govardhanam

USPTO Granted Patents = 10 

Average Co-Inventor Count = 1.3

ph-index = 1


Company Filing History:

goldMedal10 out of 750 
 
Gm Cruise Holdings LLC
 patents

Years Active: 2024-2025

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10 patents (USPTO):Explore Patents
1. 12481806 - Generating simulations based on real-world scenarios (2025-11-25),
2. 12399277 - Object tracking using semantic attributes (2025-08-26),
3. 12230009 - Determining object behavior and trajectories (2025-02-18),
4. 12187312 - Measuring environmental divergence in a simulation using object occlusion estimation (2025-01-07),
5. 12105205 - Attributing sensor realism gaps to sensor modeling parameters (2024-10-01),
6. 12103559 - Filtering real-world objects for inclusion in a simulated environment (2024-10-01),
7. 12056797 - Synthetic scene generation using spline representations of entity trajectories (2024-08-06),
8. 12026957 - Generating synthetic three-dimensional objects (2024-07-02),
9. 11977385 - Obstacle detection based on other vehicle behavior (2024-05-07),
10. 11897514 - Ride share drop off selection (2024-02-13),

Title: Hariprasad Govardhanam: Innovator in Object Tracking Technology

Introduction

Hariprasad Govardhanam is a notable inventor based in Fremont, CA (US). He has made significant contributions to the field of object tracking technology, holding a total of 10 patents. His work focuses on improving the accuracy and efficiency of tracking objects using advanced methodologies.

Latest Patents

Govardhanam's latest patents include innovative technologies such as "Object tracking using semantic attributes." This technology provides solutions for enhancing object tracking by utilizing Light Detection and Ranging (LiDAR) point cloud data. The process involves feeding this data into an autoencoder neural network to generate feature embeddings, which are then used to track the object effectively. Another significant patent is "Determining object behavior and trajectories." This patent outlines a training technique for an object trajectory prediction model that inputs semantic map data and trajectory data into an autoencoder neural network. The output is a feature embedding vector that serves as a unique identifier for each behavior, allowing for cluster analysis to determine behavior attributes.

Career Highlights

Govardhanam is currently employed at Gm Cruise Holdings LLC, where he continues to develop cutting-edge technologies in the field of autonomous systems. His expertise in machine learning and neural networks has positioned him as a key player in advancing object tracking methodologies.

Collaborations

Throughout his career, Govardhanam has collaborated with talented individuals such as Chen Shen and Matthew Koehler. These collaborations have fostered innovation and contributed to the successful development of his patented technologies.

Conclusion

Hariprasad Govardhanam's work in object tracking technology exemplifies the impact of innovative thinking in the field of autonomous systems. His contributions continue to shape the future of tracking methodologies, making significant strides in technology.

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