Xiaowei Song

Title: Innovations by Xiaowei Song in Intelligent Vehicle Measurement Systems.

Introduction

Xiaowei Song is an accomplished inventor based in Zhengzhou, China. He has made significant contributions to the field of intelligent vehicle measurement systems, focusing on enhancing transportation technologies through innovative methods.

Latest Patents

Xiaowei Song holds two notable patents. The first patent is titled "Vehicle speed intelligent measurement method based on binocular stereo vision system." This invention outlines a method for intelligently measuring vehicle speed using a binocular stereo vision system. It involves training a Single Shot Multibox Detector neural network to create a license plate recognition model, calibrating the stereo vision system, and performing stereo measurement to calculate the speed of target vehicles. The system is designed to be easy to install and adjust, making it suitable for intelligent transportation networks and the Internet of Things (IoT).

The second patent is "Intelligent vehicle trajectory measurement method based on binocular stereo vision system." This method provides a way to intelligently measure vehicle trajectories by inputting datasets into an SSD neural network for license plate recognition. It includes steps for calibrating the stereo vision system, detecting license plates, and generating the moving trajectory of vehicles over time. This invention also emphasizes ease of installation and the ability to measure multiple target vehicles simultaneously.

Career Highlights

Xiaowei Song's work has positioned him as a key figure in the development of intelligent transportation solutions. His innovative approaches have the potential to significantly improve traffic management and vehicle monitoring systems.

Collaborations

Xiaowei has collaborated with notable colleagues, including Lei Yang and Menglong Li, to advance his research and development efforts in the field of intelligent vehicle measurement.

Conclusion

Xiaowei Song's contributions to intelligent vehicle measurement systems demonstrate his commitment to innovation in transportation technology. His patents reflect a forward-thinking approach that addresses the needs of modern transportation networks.