Company Filing History:
Years Active: 2021-2025
Title: Hsin Miao: Innovator in Autonomous Vehicle Technology
Introduction
Hsin Miao is a prominent inventor based in Sunnyvale, CA, specializing in technologies for autonomous vehicles. He has made significant contributions to the field, holding a total of 3 patents that focus on enhancing the safety and efficiency of autonomous driving systems.
Latest Patents
Hsin Miao's latest patents include innovative systems and methods for validating camera calibration in real-time. This invention addresses the calibration of cameras in autonomous vehicles by utilizing image frames and LIDAR point clouds to calculate an AV pose calibration metric. The method measures a distance metric between a three-dimensional bounding box around an object and a two-dimensional bounding box in an image captured by the camera. It generates a confidence score based on these metrics and signals when the camera is not calibrated.
Another notable patent involves systems and methods for monitoring LiDAR sensor health. This invention focuses on generating operational data for autonomous vehicles by inspecting LiDAR point cloud data to assess the health of LiDAR beams. It identifies and removes bad quality point cloud data, allowing the autonomous vehicle to perform driving operations based on the modified data.
Career Highlights
Throughout his career, Hsin Miao has worked with notable companies in the automotive industry, including Volkswagen Group of America Investments, LLC and Argo AI GmbH. His experience in these organizations has contributed to his expertise in developing advanced technologies for autonomous vehicles.
Collaborations
Hsin Miao has collaborated with talented professionals in the field, including Dikpal Reddy and Yu-Wei Chang. These collaborations have further enriched his work and innovations in autonomous vehicle technology.
Conclusion
Hsin Miao is a key figure in the development of autonomous vehicle technologies, with a focus on camera calibration and LiDAR sensor health. His contributions are paving the way for safer and more efficient autonomous driving systems.