Zhenxiang Jian

Title: Zhenxiang Jian and Autonomous Vehicle Sensor Calibration.

Introduction

Zhenxiang Jian is an inventor based in San Jose, California. His patent work includes methods for validating LiDAR sensor calibration in autonomous vehicles. He is associated with Ford Global Technologies, LLC, and holds 1 patent.

Latest Patents

Jian’s patent, “Systems and Methods for Calibration and Validation of Non-Overlapping Range Sensors of an Autonomous Vehicle,” describes a way to assess LiDAR calibration. The method collects sensor data from a calibration environment and segments a reconstructed point cloud into planes. It then measures normal distances between point-cloud sweeps and those planes, calculates a validation score, and validates the calibration when the score falls below a specified threshold. Each sweep corresponds to LiDAR scans collected at a particular timestamp.

Career Highlights

Jian’s disclosed invention addresses the validation of LiDAR sensors used in autonomous vehicles. By comparing point-cloud data against planes reconstructed from a calibration environment, the method provides a score-based approach to evaluating sensor calibration.

Collaborations

The provided information identifies Hatem Alismail and Michael Schoenberg as Jian’s coworkers. It does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Zhenxiang Jian’s patent focuses on validating LiDAR calibration through point-cloud analysis, contributing a practical method relevant to autonomous vehicle sensing.