This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Reuben Manappallil Varghese John: Innovator in Drive Trajectory Prediction
Introduction
Reuben Manappallil Varghese John is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of automotive technology, particularly in the area of lane change prediction on highways. His innovative work is aimed at enhancing the safety and efficiency of driving through advanced machine learning techniques.
Latest Patents
Reuben holds a patent for "Lane change prediction on highways." This patent discloses techniques for drive trajectory prediction. In one or more aspects, an ego vehicle applies a machine learning model to one or more agent tensors and one or more map tensors associated with a target vehicle. This process helps obtain a lane change classification label that represents a predicted lane change intention of the target vehicle on a multi-lane highway. The predicted lane change intention includes at least a lane change classification, and the ego vehicle performs a driving maneuver based on this predicted lane change intention. Reuben has 1 patent to his name.
Career Highlights
Reuben is currently employed at Qualcomm Incorporated, a leading company in the field of telecommunications and automotive technology. His work at Qualcomm focuses on developing innovative solutions that leverage machine learning to improve vehicle safety and performance.
Collaborations
Reuben has collaborated with talented individuals such as Ashish Biren Mehta and Monu Surana. These collaborations have contributed to the advancement of technology in the automotive sector.
Conclusion
Reuben Manappallil Varghese John is a notable inventor whose work in lane change prediction is paving the way for safer driving experiences. His contributions to machine learning applications in automotive technology are commendable and reflect his dedication to innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
