Company Filing History:
Years Active: 2023-2025
Title: Oytun Ulutan: Innovator in Traffic Light Technology
Introduction
Oytun Ulutan is a prominent inventor based in Buena Park, California. He has made significant contributions to the field of traffic management and vehicle navigation through his innovative patents. With a total of seven patents to his name, Ulutan is recognized for his cutting-edge work in improving the efficiency and safety of transportation systems.
Latest Patents
One of Ulutan's latest patents is focused on "Yawed Traffic Light Determination." This invention describes techniques for determining a yaw value for a traffic light head. The method involves obtaining sensor data from a vehicle's sensor, which includes information about the traffic light head. Based on this sensor data, a yaw value is determined, indicating how much the traffic light head is misaligned with respect to the vehicle's line of sight. This information is crucial for controlling the vehicle's navigation in relation to the traffic light.
Another notable patent is the "Machine-Learned Architecture for Efficient Object Attribute and/or Intention Classification." This system utilizes a machine-learned architecture to process temporal sensor data, allowing for faster classification of an object's intent regarding roadway interaction. The architecture can identify whether an object intends to enter a roadway, is idling near it, or is actively crossing. Additionally, it can classify various indicator states, such as turning or stopping.
Career Highlights
Oytun Ulutan is currently employed at Zoox, Inc., a company known for its innovative approach to autonomous vehicles. His work at Zoox has allowed him to apply his expertise in sensor technology and machine learning to real-world applications in transportation.
Collaborations
Ulutan collaborates with talented individuals such as Derek Xiang Ma and Xin Wang, contributing to a dynamic team focused on advancing vehicle technology and safety.
Conclusion
Oytun Ulutan's contributions to traffic light technology and vehicle navigation demonstrate his commitment to innovation in transportation. His patents reflect a deep understanding of sensor data and machine learning, paving the way for safer and more efficient roadways.