Lauren Yang

Title: Lauren Yang and Vehicle Parking Interface Innovation.

Introduction

Lauren Yang is an inventor associated with Tesla, Inc. in Austin, Texas. Her patent work concerns using machine-learning-based occupancy information to improve how parking-related information is presented to a vehicle’s driver.

Latest Patents

Yang is named on one patent, titled “Enhanced User Interface Generation for Parking Based on Occupancy Machine Learning Models.” The described systems and methods obtain images from multiple image sensors positioned around a vehicle and process them through an occupancy network. The network estimates whether an object is within a threshold distance in individual angular ranges around the vehicle and estimates the object’s distance. A vehicle display can then present this information in a user interface showing a graphical representation of the vehicle. Yang’s reported patent portfolio includes 1 patent.

Career Highlights

Yang’s listed work connects her with Tesla, Inc. and focuses on applying machine learning and sensor data to vehicle interfaces. The patent describes a way to translate nearby-object estimates into visual information that can support parking awareness.

Collaborations

Brandon Leung and Nicholas Kouris are identified as Yang’s coworkers. The available information does not specify their roles in the patent or describe particular collaborative contributions.

Conclusion

Lauren Yang’s patent work highlights an approach to parking assistance that combines vehicle imagery, occupancy modeling, distance estimates, and an on-screen vehicle representation.