Dongzhen Piao

Title: The Innovations of Dongzhen Piao in Autonomous Vehicle Navigation

Introduction

Dongzhen Piao is an accomplished inventor based in San Mateo, California. He has made significant contributions to the field of autonomous vehicle navigation through his innovative patent. His work focuses on enhancing the accuracy and reliability of high-definition maps, which are crucial for the safe operation of self-driving cars.

Latest Patents

Dongzhen Piao holds a patent for a system that creates lane lines for high-definition maps used in autonomous vehicles. This HD map system represents landmarks and describes the spatial location of road lanes, along with providing semantic information about each lane. The system generates lane lines by mapping camera image pixels that are likely to be on lane lines into a three-dimensional space. It also connects the center lines of these lane lines, building a comprehensive network of lane elements and their connections. Additionally, the system represents traffic signs based on camera images and depth maps from detection and ranging sensors. These features are essential for constructing a high-definition map that enables autonomous vehicles to navigate safely through their environments.

Career Highlights

Dongzhen Piao is currently employed at DeepMap Inc., a company that specializes in high-definition mapping for autonomous vehicles. His work at DeepMap has positioned him as a key player in the development of technologies that enhance the navigation capabilities of self-driving cars. His innovative approach to mapping and lane line creation has the potential to significantly improve the safety and efficiency of autonomous vehicle operations.

Collaborations

Dongzhen Piao collaborates with talented individuals in his field, including Mark Damon Wheeler and Lin Yang. These collaborations contribute to the advancement of technologies that support the development of autonomous navigation systems.

Conclusion

Dongzhen Piao's contributions to the field of autonomous vehicle navigation through his innovative patent demonstrate his expertise and commitment to enhancing safety in self-driving technology. His work at DeepMap Inc. continues to influence the future of autonomous navigation systems.