Location History:
- Rockville, MD (US) (2019)
- Vernon Hills, IL (US) (2020)
Company Filing History:
Years Active: 2019-2020
Title: Ye Gu: Innovator in Object Segmentation Technologies
Introduction
Ye Gu is a notable inventor based in Rockville, MD (US), recognized for his contributions to the field of object segmentation technologies. He holds a total of 3 patents, showcasing his innovative approach to solving complex problems in this domain.
Latest Patents
Ye Gu's latest patents include methods, systems, and apparatus for segmenting and dimensioning objects. One of the disclosed methods involves determining a first sensor from a plurality of sensors toward which a vehicle is moving, based on image data generated by these sensors. This method designates the first sensor as a reference sensor and combines image data to generate combined image data representative of the vehicle and an object it carries. The process includes generating clusters based on this combined image data and identifying the nearest cluster to the reference sensor as the object.
Another significant patent focuses on methods, systems, and apparatus for segmenting objects. In this patent, a controller receives a 3D representation of a scene that includes an object represented by a 3D model. The controller determines the orientation of a 2D image in the 3D representation and segments the relevant portions of the 3D representation based on this orientation.
Career Highlights
Ye Gu is currently employed at Symbol Technologies, LLC, where he continues to develop innovative solutions in the field of object segmentation. His work has significantly advanced the understanding and application of sensor data in real-world scenarios.
Collaborations
Ye Gu collaborates with talented individuals such as Bo Fu and Yan Zhang, who contribute to the innovative environment at Symbol Technologies, LLC.
Conclusion
Ye Gu's work in object segmentation technologies exemplifies the impact of innovation in enhancing sensor data applications. His patents reflect a commitment to advancing technology and improving the capabilities of vehicles and systems in understanding their environments.