This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Robert Bosch. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Wenpeng Wang and Camera-to-Radar Knowledge Distillation.
Introduction
Wenpeng Wang is an inventor based in Pittsburgh, Pennsylvania, and is associated with Robert Bosch. His patent work addresses a challenge in training radar data processing models: reducing the amount of manually annotated data required.
Latest Patents
Wang is associated with 1 patent, titled “Systems and Methods for Camera-to-Radar Knowledge Distillation.” The patent describes a workflow that uses a camera synchronized with a radar sensor to collect corresponding images and radar point clouds. A pre-trained image model guides a self-supervised knowledge distillation process, allowing a radar data processing model to learn from unannotated data. The radar model is then fine-tuned using a limited set of annotated radar point clouds, reducing the human effort needed for annotation.
Career Highlights
Wang’s disclosed invention focuses on combining camera and radar data to improve model training efficiency. The approach may help reduce reliance on extensive labeled datasets in radar-based perception systems.
Collaborations
Wang is associated with Robert Bosch. Sirajum Munir is identified as a coworker.
Conclusion
Wenpeng Wang’s patent presents a camera-to-radar training workflow designed to make radar model development less dependent on manually annotated data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile