Foster City, CA, United States of America

Qichi Yang

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.5

ph-index = 1


Company Filing History:


Years Active: 2020-2025

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6 patents (USPTO):

Title: Qichi Yang: Innovator in Autonomous Vehicle Technology

Introduction

Qichi Yang is a prominent inventor based in Foster City, CA (US), known for his contributions to the field of autonomous vehicle technology. With a total of 6 patents, Yang has made significant strides in enhancing the capabilities of self-driving vehicles.

Latest Patents

Yang's latest patents include groundbreaking technologies such as "Identifying Parkable Areas for Autonomous Vehicles." This innovation focuses on determining parkable areas by analyzing logged data of parked vehicles. The technology assesses whether specific portions of a roadgraph correspond to parkable areas, thereby improving navigation for autonomous vehicles. Another notable patent is "Detecting and Responding to Processions for Autonomous Vehicles." This technology involves using sensor data to identify multiple objects in a vehicle's environment that may be disobeying predetermined rules. By recognizing these objects as part of a procession, the vehicle can autonomously adjust its behavior to respond appropriately.

Career Highlights

Throughout his career, Qichi Yang has worked with leading companies in the tech industry, including Waymo LLC and Google Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of autonomous driving.

Collaborations

Yang has collaborated with notable professionals in the field, including David Harrison Silver and Chi Yeung Jonathan Ng. These partnerships have contributed to the advancement of his projects and the overall development of autonomous vehicle technology.

Conclusion

Qichi Yang's work in autonomous vehicle technology showcases his innovative spirit and dedication to improving transportation systems. His patents reflect a commitment to enhancing the safety and efficiency of self-driving vehicles.

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