This inventor holds 1 USPTO granted patent. Top assignee: The Hong Kong University of Science and Technology. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Qing Liang: Innovator in Autonomous Navigation Systems
Introduction
Qing Liang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of autonomous navigation, particularly in intelligent indoor logistic transportation. His innovative approach combines advanced sensor technology with sophisticated algorithms to enhance the efficiency of transportation systems.
Latest Patents
Qing Liang holds a patent for an "Autonomous navigation method and system for intelligent indoor logistic transportation based on one-shot imitation." This patent describes a method and system for controlling and directing a means of transportation to autonomously navigate to a target location. The process involves receiving measurements from various sensors, constructing a route based on these measurements, generating localization estimations, and performing local planning to avoid obstacles. The sensors utilized in this system include a LiDAR sensor and an odometry sensor, showcasing the integration of cutting-edge technology in his work.
Career Highlights
Qing Liang is affiliated with The Hong Kong University of Science and Technology, where he contributes to research and development in autonomous systems. His work is characterized by a commitment to advancing the capabilities of indoor logistic transportation, making significant strides in the field.
Collaborations
Qing Liang collaborates with talented individuals such as Yuxuan Liu and Hengli Wang, who contribute to his research endeavors. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in autonomous navigation.
Conclusion
Qing Liang's contributions to autonomous navigation systems exemplify the potential of innovative technologies in enhancing logistic transportation. His work not only addresses current challenges but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile