Company Filing History:
Years Active: 2025
Title: Behnaz Rezaei: Innovator in Machine Learning and Lane Estimation Technologies
Introduction
Behnaz Rezaei is a prominent inventor based in San Diego, CA. She has made significant contributions to the fields of machine learning and lane estimation technologies. With a total of 2 patents, her work is paving the way for advancements in vehicle sensor data processing and road lane identification.
Latest Patents
Rezaei's latest patents include innovative technologies that enhance vehicle navigation systems. One of her patents focuses on "Machine learning based occupancy grid generation." This invention involves a device that receives sensor data associated with a vehicle and aggregates it to generate an occupancy grid. The device trains a machine learning model to create an occupancy grid based on specific loss functions, improving the accuracy of vehicle positioning.
Another notable patent is related to "Boundary estimation." This apparatus is designed for lane estimation and includes a processor that analyzes three-dimensional space to identify road lanes. By extracting points associated with the ground plane, the device maps these points to a two-dimensional frame, determining attributes that help in identifying road lanes.
Career Highlights
Behnaz Rezaei is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. Her work at Qualcomm has allowed her to focus on cutting-edge research and development in machine learning applications for automotive technologies.
Collaborations
Throughout her career, Rezaei has collaborated with talented individuals such as Christopher Brunner and Volodimir Slobodyanyuk. These collaborations have contributed to the successful development of her patented technologies.
Conclusion
Behnaz Rezaei is a trailblazer in the field of machine learning and lane estimation technologies. Her innovative patents and contributions to Qualcomm Incorporated highlight her role as a key inventor in advancing automotive technology.
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