Location History:
- Ann Arbor, MI (US) (2021)
- Dearborn, MI (US) (2022)
Company Filing History:
Years Active: 2021-2022
Title: Wenshuo Wang: Innovator in Autonomous Vehicle Technology
Introduction
Wenshuo Wang is a prominent inventor based in Dearborn, MI (US). He has made significant contributions to the field of autonomous vehicle technology, holding a total of 3 patents. His work focuses on optimizing sensor placement and unifying heterogeneous datasets, which are crucial for the advancement of intelligent transportation systems.
Latest Patents
Wang's latest patents include a "System and method for unifying heterogeneous datasets using primitives." This invention provides a method for collecting and combining multiple datasets containing traffic or driving data. The records are organized into time series based on timestamps, and a Bayesian learning method is employed to identify traffic primitives. These primitives correspond to specific driving actions, allowing researchers to query for particular records and train learning-based algorithms.
Another notable patent is the "System and method for determining optimal lidar placement on autonomous vehicles." This invention defines a range-of-interest for autonomous vehicles and segments it into cubes. By solving an optimization problem, Wang's method determines the best locations and angles for LiDAR sensors to maximize data collection, enhancing the vehicle's ability to navigate its environment effectively.
Career Highlights
Wenshuo Wang is affiliated with the University of Michigan, where he continues to innovate in the field of autonomous systems. His research has the potential to significantly impact the development of safer and more efficient autonomous vehicles.
Collaborations
Wang collaborates with esteemed colleagues such as Ding Zhao and Senyu Mou, contributing to a dynamic research environment that fosters innovation and technological advancement.
Conclusion
Wenshuo Wang's contributions to autonomous vehicle technology through his patents and research at the University of Michigan highlight his role as a key innovator in the field. His work not only enhances the functionality of autonomous systems but also paves the way for future advancements in transportation technology.