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: Anil Yildiz: Innovator in Autonomous Vehicle Safety
Introduction
Anil Yildiz is a prominent inventor based in Stanford, CA, known for his contributions to the field of autonomous vehicle safety. With a focus on innovative solutions, he has developed a unique approach to monitoring and analyzing belief reasoning in autonomous systems. His work is pivotal in enhancing the safety and reliability of autonomous vehicles.
Latest Patents
Anil Yildiz 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 related to an undesired outcome. It constructs a backward Monte Carlo tree search model based on this belief, allowing it to identify 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, enabling the vehicle to select appropriate control actions from a set of candidates.
Career Highlights
Throughout his career, Anil Yildiz has worked with notable organizations, including Nissan North America, Inc. and Leland Stanford Junior University. His experience in these institutions has significantly contributed to his expertise in autonomous vehicle technology and safety.
Collaborations
Anil has collaborated with talented individuals such as Esen Yel and Marcell Jose Vazquez-Chanlatte. These collaborations have fostered innovation and advancement in the field of autonomous systems.
Conclusion
Anil Yildiz is a key figure in the development of safety measures for autonomous vehicles, with a focus on belief reasoning and operational control. His innovative patent and career achievements highlight his commitment to enhancing vehicle safety.