Location History:
- Palo Alto, CA (US) (2018)
- Sunnyvale, CA (US) (2020 - 2022)
Company Filing History:
Years Active: 2018-2022
Title: Yue Zhao: Innovator in Autonomous Vehicle Technology
Introduction
Yue Zhao is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of autonomous vehicle technology. With a total of 5 patents, Zhao has made significant advancements in the integration of LiDAR data and image processing techniques.
Latest Patents
One of his latest patents is titled "LiDAR point selection using image segmentation." This patent discloses techniques for selecting points of an image for processing with LiDAR data. The process involves receiving an image that contains multiple objects, processing the image to create bounding boxes around these objects, and identifying specific image masks corresponding to different pixel regions. This innovation enhances the accuracy of LiDAR data processing.
Another notable patent is the "Probabilistic object tracking and prediction framework." This method focuses on tracking and predicting world objects by an autonomous vehicle. It includes receiving observation data from the vehicle's sensors, associating this data with world objects, and determining hypotheses regarding the objects' intentions. The framework aims to improve the vehicle's ability to predict the positions of objects in its environment.
Career Highlights
Yue Zhao has worked with notable companies in the automotive industry, including Nissan North America, Inc. and Renault S.a.s. His experience in these organizations has contributed to his expertise in developing innovative technologies for autonomous vehicles.
Collaborations
Zhao has collaborated with talented individuals in his field, including Christopher Ostafew and Ali Mortazavi. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Yue Zhao's work in autonomous vehicle technology showcases his innovative spirit and dedication to advancing the industry. His patents reflect a commitment to improving the safety and efficiency of autonomous systems.