San Jose, CA, United States of America

Lincan Zou

This inventor holds 25 USPTO granted patents and 4 published patent applications and 6 EPO patents, primarily in Visual Analytics. Top assignees: Robert Bosch, Robert Bosch Gmbh. Active years: 2013-2026.

USPTO Granted Patents = 25 

% Patents Active = 88.0

 

Average Co-Inventor Count = 2.9

ph-index = 3

Forward Citations = 31(Granted Patents)


Location History:

  • Shanghai, CN (2013 - 2015)
  • Sunnyvale, CA (US) (2015 - 2017)
  • San Jose, CA (US) (2016 - 2023)

Company Filing History:


Years Active: 2013-2026

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Areas of Expertise:
Visual Analytics
Deep Neural Networks
Object Detection
3D Rendering
Autonomous Driving
Adversarial Generation
Activity Detection
Weather Effects
Virtual Environments
Motion Detection
Cycle Measurement
Texture Generation
25 patents (USPTO):Explore Patents

Title: Innovations of Lincan Zou: Pioneering Patents in Autonomous Driving

Introduction: Lincan Zou is an inventive force based in San Jose, CA, with an impressive portfolio of 23 patents. His work primarily focuses on enhancing safety and efficiency in autonomous driving technologies, reflecting his commitment to innovation in this rapidly evolving field.

Latest Patents: Among his latest inventions are significant advancements in function testing and object detection systems for autonomous vehicles. One notable patent addresses function testing for movable objects in safety-critical applications through spatial representation learning and adversarial generation. This system utilizes an electronic processor to access driving scenes and perform sophisticated spatial representation learning, generating adversarial examples that contribute to the retraining of deep learning models, ultimately enhancing the safety and reliability of autonomous systems.

Another remarkable patent involves a visual analytics platform designed to update object detection models within autonomous driving applications. This system includes a computer and an interface device that extracts critical object information and characteristics from image data. The capability to generate coordinated visualizations and a recommendation graphical user interface allows for the identification and rectification of weaknesses in object detection models, facilitating the development of more robust technologies for autonomous vehicles.

Career Highlights: Lincan Zou's career is marked by his role at Robert Bosch GmbH, where he collaborates with a team of talented colleagues. His extensive experience and focus on cutting-edge technology position him as a valuable asset in the field of autonomous driving.

Collaborations: Lincan has collaborated closely with notable coworkers such as Liu Ren and Zeng Dai. These partnerships have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies that aim to improve the performance of autonomous vehicles.

Conclusion: Lincan Zou's contributions to the field of autonomous driving through his innovative patents demonstrate his significant impact on the industry. His focus on safety and advanced technology continues to inspire and drive innovation, underscoring the importance of his work in shaping the future of transportation.

Profile summary based on public USPTO records.
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