Jing Yan

Title: Jing Yan: Innovator in Autonomous Driving Technologies

Introduction

Jing Yan is a prominent inventor based in Beijing, China, known for his contributions to the field of autonomous driving technologies. With a total of three patents to his name, he has made significant strides in developing methods and apparatuses that enhance the capabilities of autonomous vehicles.

Latest Patents

One of Jing Yan's latest patents is titled "Method and apparatus for generating information." This invention discloses a method for evaluating the driving difficulty of roads for autonomous vehicles. The method involves acquiring associated information about a road, generating traffic environment information, and inputting this data into a driving difficulty evaluation model. This process allows autonomous vehicles to select routes with lower driving difficulty levels, thereby improving safety and efficiency.

Another notable patent is "Generation of depth images based upon light falloff." This technology focuses on computing depth images of scenes that include mobile objects by utilizing the principle of light falloff. The method captures an infrared image of a scene and computes a depth image based on the intensity values of the pixels in the infrared image. This innovation has potential applications in enhancing the perception capabilities of autonomous systems.

Career Highlights

Jing Yan has worked with several notable companies throughout his career, including Microsoft Technology Licensing, LLC and Baidu Online Network Technology (Beijing) Co., Ltd. His experience in these organizations has contributed to his expertise in technology development and innovation.

Collaborations

Jing Yan has collaborated with talented individuals such as Ning-Yi Xu and Xiong-Fei Cai. These partnerships have likely fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Jing Yan's work in the field of autonomous driving technologies showcases his innovative spirit and dedication to improving vehicle safety and efficiency. His patents reflect a commitment to advancing the capabilities of autonomous systems, making him a significant figure in the realm of technological innovation.