Pittsburgh, PA, United States of America

Karthik Lakshmanan


Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 37(Granted Patents)


Company Filing History:


Years Active: 2015-2024

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5 patents (USPTO):Explore Patents

Title: Karthik Lakshmanan: Innovator in Autonomous Vehicle Technology

Introduction

Karthik Lakshmanan is a prominent inventor based in Pittsburgh, PA, known for his contributions to the field of autonomous vehicle technology. With a total of five patents to his name, he has made significant strides in enhancing the safety and efficiency of autonomous systems.

Latest Patents

Karthik's latest patents include innovative methods for processing lidar and sensor data in autonomous vehicles. One of his notable inventions is a system and method for generating information on the remainder of measurement using lidar data. This method involves obtaining lidar data that includes multiple returns from the environment of an autonomous vehicle. The data is processed using a machine learning model to classify lidar returns as either belonging to an object or non-object. Additionally, it identifies whether these objects are harmful or non-harmful to the vehicle. Another patent focuses on a similar approach using sensor data, where features are extracted and classified to enhance the vehicle's decision-making capabilities.

Career Highlights

Karthik has worked with leading companies in the technology sector, including Uber Technologies, Inc. and Aurora Operations, Inc. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to the advancement of autonomous vehicle technology.

Collaborations

Karthik has collaborated with notable professionals in his field, including Brian C Becker and J Andrew Bagnell. These collaborations have further enriched his work and have led to the development of cutting-edge technologies in the autonomous vehicle domain.

Conclusion

Karthik Lakshmanan's work in autonomous vehicle technology showcases his innovative spirit and dedication to improving safety and efficiency in transportation. His patents reflect a deep understanding of machine learning and sensor data processing, positioning him as a key figure in the future of autonomous systems.

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