This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Leland Stanford Junior University, Nissan North America, Inc.. Active years: 2026.
Company Filing History:
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1 out of 1,188 
Years Active: 2026
Title: Esen Yel: Innovator in Autonomous Vehicle Safety
Introduction
Esen Yel is an accomplished inventor based in Cohoes, NY (US). She has made significant contributions to the field of autonomous vehicle safety through her innovative patent. Her work focuses on enhancing the safety and reliability of belief reasoning in autonomous systems.
Latest Patents
Esen Yel holds a patent for a "Backward Monte Carlo Tree Search Model for Monitoring and Analyzing Safety of Belief Reasoning for Autonomous Vehicles." This patent describes a method where a vehicle can utilize a scenario-specific operational control evaluation model. The vehicle receives operational environment data, which includes information about external objects. Based on this data, the vehicle determines a final belief associated with an undesired outcome. It constructs a backward Monte Carlo tree search model based on this belief and identifies a set of initial beliefs that could lead to the final belief within a specified time threshold. A policy is then trained using these initial beliefs, allowing the vehicle to select appropriate control actions from a set of candidates.
Career Highlights
Esen has worked with notable organizations, including Nissan North America, Inc. and Leland Stanford Junior University. Her experience in these institutions has contributed to her expertise in the field of autonomous vehicles and safety systems.
Collaborations
Esen has collaborated with talented individuals such as Anil Yildiz and Marcell Jose Vazquez-Chanlatte. These collaborations have further enriched her work and expanded her impact in the industry.
Conclusion
Esen Yel is a pioneering inventor whose work in autonomous vehicle safety is shaping the future of transportation. Her innovative approaches and collaborations highlight her commitment to enhancing safety in autonomous systems.