San Jose, CA, United States of America

Hanme Kim

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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5 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Hanme Kim

Introduction

Hanme Kim is a pioneering inventor based in San Jose, California. With an impressive portfolio that includes five patents, he has made significant contributions to the field of visual odometry and localization techniques. His work, primarily at the Toyota Research Institute, Inc., is instrumental in advancing the capabilities of robotics and autonomous vehicles.

Latest Patents

Hanme Kim's most recent patents showcase his innovative approach to visual processing:

1. **Self-supervised 3D Keypoint Learning for Monocular Visual Odometry**: This method focuses on learning depth-aware keypoints and associated descriptors from monocular video. It involves training both a keypoint network and a depth network using successive images. The process includes lifting 2D keypoints to 3D based on a learned depth map, which is crucial for estimating the trajectory of an ego-vehicle.

2. **Incremental Map Building Using Learnable Features and Descriptors**: This method is designed for localization tasks performed by an agent. It begins with the receipt of a query image of the current environment, followed by receiving a target image. This approach allows for determining the agent's current location based on keypoints generated through specified tasks.

Career Highlights

As a key innovator at Toyota Research Institute, Inc., Hanme Kim has focused on enhancing the integration of visual odometry in real-world applications. His methodologies are at the forefront of research in automated navigation systems, particularly for vehicles reliant on monocular vision.

Collaborations

Hanme works alongside notable colleagues such as Vitor Guizilini and Sudeep Pillai, contributing to a collaborative environment that fosters innovation. Together, they provide a strong foundation for research that significantly enhances robotic vision and navigation capabilities.

Conclusion

Hanme Kim's inventive spirit and expertise in visual processing technologies place him among the leading figures in his field. His contributions not only push the boundaries of technology but also pave the way for advancements in autonomous systems. As innovations continue to unfold, Kim's work is anticipated to have a lasting impact on the future of intelligent robotics.

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