Company Filing History:
Years Active: 2020-2023
Title: Innovations of Zhanwen Liu in Intelligent Vehicle Technology
Introduction
Zhanwen Liu is a prominent inventor based in Shaanxi, China, known for his contributions to intelligent vehicle technology. With a total of five patents to his name, Liu has made significant strides in the field of automated vehicles and their operational diagnostics.
Latest Patents
One of Liu's latest patents is a method and system for fault diagnoses of intelligent vehicles. This innovative system trains and optimizes a model using real-time system operation data collected from intelligent vehicles in normal running states. The data undergoes de-noising, feature extraction, and screening to identify fatal sensor faults, allowing for the reconstruction of system operation data. This reconstructed data is then analyzed to determine if any faults exist based on a set threshold.
Another notable patent is a system and method for testing the ability of an automated vehicle to pass a traffic circle without traffic lights. This system includes an automated vehicle, a traffic circle, a control center, an attitude sensor, and a panorama camera. The control center receives test requests and sends driving commands to the automated vehicle. The attitude sensor provides real-time tilt angle data, while the panorama camera captures the vehicle's driving trajectory, speed, and turn signal status. The control center evaluates this information against a standard to assess the vehicle's performance.
Career Highlights
Zhanwen Liu is affiliated with Chang'an University, where he continues to advance research in intelligent vehicle systems. His work focuses on enhancing the safety and efficiency of automated vehicles through innovative diagnostic and testing methods.
Collaborations
Liu collaborates with esteemed colleagues, including Xiangmo Zhao and Zhigang Xu, who contribute to his research endeavors and patent developments.
Conclusion
Zhanwen Liu's innovative patents and research at Chang'an University significantly impact the field of intelligent vehicles. His work not only enhances vehicle safety but also paves the way for future advancements in automated transportation technology.
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