Liwen Lin

Title: Innovations of Liwen Lin in Autonomous Machine Systems

Introduction

Liwen Lin is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of computer vision, particularly in the context of autonomous machine systems. His innovative work focuses on enhancing the safety and efficiency of these systems through advanced hazard detection techniques.

Latest Patents

Liwen Lin holds a patent titled "Detecting hazards based on disparity maps using computer vision for autonomous machine systems and applications." This patent presents systems and methods for stereo disparity-based hazard detection tailored for autonomous machine applications. The embodiments described in the patent assist an ego-machine in identifying hazards within its path of travel. By utilizing the disparity between a stereo pair of images, the invention generates a baseline path disparity model and identifies hazards from detected disparities that deviate from this model. The construction of a disparity map for the image pair allows each pixel to represent a disparity for the corresponding element captured in the image. Additionally, blockwise division can be employed to subdivide the disparity map into smaller maps, each corresponding to a block of pixels. A V-space disparity map simplifies the estimation of the path disparity model, enhancing the overall functionality of the system.

Career Highlights

Liwen Lin is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His work at Nvidia focuses on developing innovative solutions that leverage computer vision for autonomous systems.

Collaborations

Liwen collaborates with talented individuals such as Yue Wu and Cheng-Chieh Yang, contributing to a dynamic and innovative work environment.

Conclusion

Liwen Lin's contributions to the field of autonomous machine systems through his patent on hazard detection exemplify the importance of innovation in enhancing safety and efficiency. His work at Nvidia Corporation continues to push the boundaries of technology in this critical area.