Pittsburgh, PA, United States of America

Ian Dewancker


Average Co-Inventor Count = 13.0

ph-index = 1

Forward Citations = 59(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Ian Dewancker: Innovator in Autonomous Vehicle Prediction Systems

Introduction

Ian Dewancker is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of machine learning, particularly in the context of autonomous vehicles. His innovative work focuses on predicting the future locations of objects perceived by these vehicles, enhancing their operational efficiency and safety.

Latest Patents

Ian Dewancker holds a patent for a groundbreaking system titled "Machine learning for predicting locations of objects perceived by autonomous vehicles." This patent outlines methods and systems that enable autonomous vehicles to predict the future locations of objects they encounter. The prediction system generates potential goals for each perceived object, selects among these goals, and develops trajectories for achieving them. By leveraging machine-learned models, the system improves the speed, quality, and accuracy of predictions, making it a vital advancement in the field.

Career Highlights

Ian Dewancker is currently associated with Uatc, LLC, where he applies his expertise in machine learning and autonomous systems. His work has positioned him as a key player in the development of technologies that enhance the functionality of autonomous vehicles. With a focus on innovation, he continues to push the boundaries of what is possible in this rapidly evolving field.

Collaborations

Ian has collaborated with talented individuals such as Galen Clark Haynes and Nemanja Djuric. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Ian Dewancker's contributions to the field of autonomous vehicle technology through his innovative patent demonstrate his commitment to advancing machine learning applications. His work not only enhances the capabilities of autonomous vehicles but also sets a foundation for future innovations in the industry.

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