San Francisco, CA, United States of America

Sohrab Haghighat

This inventor holds 1 USPTO granted patent. Top assignee: Gm Cruise Holdings LLC. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sohrab Haghighat. Retrieved from https://idiyas.com/inventor/sohrab-haghighat-e8yq7ki9

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Sohrab Haghighat and Autonomous-Vehicle Lane-Change Safety.

Introduction

Sohrab Haghighat is an inventor based in San Francisco, California. His patent work includes technology designed to help autonomous vehicles assess the safety of changing lanes.

Latest Patents

Haghighat is associated with 1 patent, titled “Lane Change Detection System and Method for an Autonomous Vehicle.” The invention describes a vehicle equipped with sensors such as cameras, lidar, radar, sonar, infrared, and GPS. Its computing system uses a region-of-interest module and an object-trajectory module to assess whether moving into an adjacent lane could result in a collision. An instruction module can then support control of vehicle systems, including the engine or steering.

Career Highlights

Haghighat is associated with GM Cruise Holdings LLC. His patent reflects work on autonomous-vehicle systems that combine sensor data, collision assessment, and vehicle control to support lane-change maneuvers.

Collaborations

The provided information identifies Drew Gross and Shiva Ghose as Haghighat’s coworkers. Their names are associated with his professional context, though specific collaborative roles are not detailed.

Conclusion

Sohrab Haghighat’s patent focuses on detecting potential collisions and supporting safer lane changes in autonomous vehicles, illustrating an application of sensing and control technologies to automated driving.

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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