This inventor holds 1 USPTO granted patent. Top assignee: Dalian Maritime University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Haibo Kuang: Innovator in Crowd Motion Simulation
Introduction
Haibo Kuang is a notable inventor based in Dalian, China. He has made significant contributions to the field of crowd motion simulation, particularly through his innovative patent. His work focuses on utilizing real crowd motion videos to enhance the accuracy of crowd simulations.
Latest Patents
Haibo Kuang holds a patent for a "Crowd motion simulation method based on real crowd motion videos." This method involves framing videos and storing them as continuous high-definition images. It generates a crowd density map for each image and accurately positions individuals within these maps. The process correlates individual positions across different images to create complete motion trajectories. Additionally, it quantifies motion trajectory data, defines training data and labels, and builds a deep convolutional neural network for training. This network learns crowd motion behaviors and tests simulation predictions by adjusting parameters to draw accurate crowd motion trajectories.
Career Highlights
Haibo Kuang is affiliated with Dalian Maritime University, where he contributes to research and development in his field. His work has garnered attention for its practical applications in various industries, including safety management and urban planning.
Collaborations
Haibo Kuang collaborates with colleagues such as Zongyao Wang and Yanbo Yang, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in crowd motion simulation.
Conclusion
Haibo Kuang's innovative approach to crowd motion simulation represents a significant advancement in the field. His patent showcases the potential for real-world applications, making him a key figure in this area of research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile