Mountain View, CA, United States of America

Peter Trautman


Average Co-Inventor Count = 1.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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4 patents (USPTO):Explore Patents

Title: Innovations in Crowd Navigation: The Contributions of Peter Trautman

Introduction: Peter Trautman is a renowned inventor based in Mountain View, California. With a total of four patents to his name, his work predominantly focuses on advancing technologies for crowd navigation. His latest innovations blend statistical modeling with real-time data to enhance the safety and efficiency of crowd interactions.

Latest Patents: Among Peter Trautman's notable contributions are two key patents. First, he has developed systems and methods for utilizing interacting Gaussian mixture models for crowd navigation. In this invention, a system incorporates a processor, statistical module, and model module to process sensor data, identify agents in a physical environment, and thereby generate a model for crowd navigation based on a set of Gaussian processes. This innovative approach ensures that the identified agents maneuver effectively while considering individual intents and flexibility.

Career Highlights: Peter Trautman has made significant strides in his career by working with Honda Motor Co., Ltd. His role involves a focus on pioneering technologies that shape the future of crowd navigation systems. His contributions are recognized not just for their technical merit but also for their potential real-world applications.

Collaborations: Throughout his career, Peter has collaborated with esteemed colleagues such as Soshi Iba and Shih-Yun Lo. Together, they have explored various aspects of crowd dynamics, leveraging their expertise to enhance the research and development of navigation systems.

Conclusion: Peter Trautman stands out as a leading figure in the realm of innovations related to crowd navigation. His patents reflect a deep understanding of statistical processes and their applications in real-life scenarios. As the field of crowd navigation evolves, the impact of his work is likely to resonate across various domains, underscoring the importance of innovation in enhancing public safety and efficiency.

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