Company Filing History:

6 out of 29,302

Robert Boschgmbh

patents

2 out of 21,893

Honda Motor Co., Ltd.

Years Active: 2019-2023

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9 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11587330 - Visual analytics platform for updating object detection models in autonomous driving applications (2023-02-21),

2. 11537901 - System and method for unsupervised domain adaptation with mixup training (2022-12-27),

3. 11410433 - Semantically-consistent augmented training data for traffic light detection (2022-08-09),

4. 11250279 - Generative adversarial network models for small roadway object detection (2022-02-15),

5. 11176422 - Apparatus and system for unsupervised disentangled representation learning with a residual variational autoencoder (2021-11-16),

6. 10997467 - Visual analytics exposure of image object detector weakness (2021-05-04),

7. 10984311 - Involved generative machine learning models for functional testing (2021-04-20),

8. 10759424 - Vehicle data selection system for modifying automated driving functionalities and method thereof (2020-09-01),

9. 10279793 - Understanding driver awareness through brake behavior analysis (2019-05-07),

Title: Innovations of Nanxiang Li in Autonomous Driving Technologies

Introduction

Nanxiang Li is a prominent inventor based in San Mateo, California, known for his significant contributions to the field of autonomous driving technologies. With a total of nine patents to his name, Li has developed innovative solutions that enhance object detection models and machine learning systems.

Latest Patents

Among his latest patents is a visual analytics platform designed for updating object detection models in autonomous driving applications. This system includes a computer and an interface device with a display. The electronic processor extracts object information from image data using a first object detection model and generates coordinated visualizations based on the summary of object information and characteristics. This innovation aims to improve the accuracy of object detection models by identifying weaknesses and updating them accordingly.

Another notable patent is a system and method for unsupervised domain adaptation with mixup training. This invention involves training a machine learning system with sensor data from a first domain and adapting it to a second domain. By generating inter-domain sensor and label data, the system optimizes its parameters to enhance performance across different environments.

Career Highlights

Nanxiang Li has worked with renowned companies such as Robert Bosch GmbH and Honda Motor Co., Ltd. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in automotive technology.

Collaborations

Li has collaborated with talented individuals in his field, including Liu Ren and Lincan Zou. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Nanxiang Li's work in autonomous driving technologies showcases his dedication to innovation and improvement in machine learning systems. His patents reflect a commitment to enhancing safety and efficiency in autonomous vehicles.

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