Waterloo, Canada

Peiyi Chen


Average Co-Inventor Count = 6.7

ph-index = 2

Forward Citations = 20(Granted Patents)


Location History:

  • Kitchener, CA (2022)
  • Waterloo, CA (2018 - 2024)

Company Filing History:


Years Active: 2018-2024

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6 patents (USPTO):

Title: Peiyi Chen: Innovator in Self-Driving Vehicle Technology

Introduction

Peiyi Chen is a prominent inventor based in Waterloo, Canada, known for his contributions to the field of self-driving vehicle technology. With a total of six patents to his name, Chen has made significant strides in enhancing vehicle safety through innovative systems and methods.

Latest Patents

One of Chen's latest patents focuses on systems and methods for self-driving vehicle collision prevention. This patent presents a comprehensive safety system that includes one or more sensors in communication with a control system. The control system is designed to determine safety fields and instruct the sensors to scan regions corresponding to these fields. Additionally, the control system identifies exclusion regions and omits them from the safety field. The safety system may also incorporate capability reduction parameters, which can constrain the vehicle's drive system by restricting turning radius and speed in accordance with the established safety fields.

Career Highlights

Throughout his career, Peiyi Chen has worked with notable companies, including Clearpath Robotics Inc. His experience in the robotics and automotive sectors has allowed him to develop cutting-edge technologies that address critical safety concerns in autonomous driving.

Collaborations

Chen has collaborated with talented individuals in the industry, including Ryan Christopher Gariepy and Michael Irvine. These partnerships have contributed to the advancement of his innovative projects and patents.

Conclusion

Peiyi Chen's work in self-driving vehicle technology exemplifies the importance of innovation in enhancing safety on the roads. His patents reflect a commitment to developing systems that can prevent collisions and improve the overall functionality of autonomous vehicles.

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