Mountain View, CA, United States of America

Marcus Hammond


Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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7 patents (USPTO):Explore Patents

Title: Innovations by Marcus Hammond in Advanced Driver Assistance Systems

Introduction

Marcus Hammond is an accomplished inventor based in Mountain View, CA, with a notable portfolio of seven patents. His work primarily focuses on advanced driver assistance systems, contributing significantly to the field of automotive technology.

Latest Patents

Hammond's latest patents include a method for controlling the availability of autonomy functions in vehicles. This method involves determining uncertainty levels corresponding to driving data streams, which helps assess the probability of collisions or driving off the roadway. By generating a total uncertainty level, the method can disable certain autonomy functions based on predefined availability criteria. Additionally, he has developed systems and methods for identifying high-risk driving situations from driving data. This involves training a machine learning model to recognize features associated with trigger events in driving data, enabling real-time detection of high-risk situations and facilitating defensive driving maneuvers.

Career Highlights

Throughout his career, Hammond has worked with prominent companies such as Zoox, Inc. and Toyota Research Institute, Inc. His contributions to these organizations have been instrumental in advancing the capabilities of autonomous driving technologies.

Collaborations

Hammond has collaborated with notable individuals in the field, including Timothy David Kentley-Klay and Marc Wimmershoff. These partnerships have further enriched his innovative endeavors and expanded the impact of his work.

Conclusion

Marcus Hammond's contributions to advanced driver assistance systems exemplify his commitment to innovation in automotive technology. His patents and collaborations reflect a deep understanding of the complexities involved in enhancing vehicle safety and autonomy.

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