Beijing, China

Dayang Hao


 

Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2022

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Dayang Hao: Innovator in Autonomous Vehicle Technology

Introduction

Dayang Hao is a prominent inventor based in Beijing, China, known for his contributions to the field of autonomous vehicle technology. With a total of five patents to his name, Hao has made significant strides in enhancing the safety and efficiency of driverless vehicles.

Latest Patents

Hao's latest patents include a decision method, device, equipment in a lane changing process, and a storage medium. This innovative method involves acquiring a first planned track for a driverless vehicle to travel to a first lane and a second planned track for a second lane within a preset time period. The method predicts the track of at least one obstacle based on its traveling state, allowing the vehicle to determine its motion accordingly. Another notable patent is a method and apparatus for processing a driving reference line, which addresses safety issues caused by insufficient obstacle avoidance capabilities. This method adjusts the driving reference line based on the position of obstacles, ensuring safer navigation for autonomous vehicles.

Career Highlights

Throughout his career, Dayang Hao has worked with notable companies in the technology sector, including Apollo Intelligent Driving Technology and Baidu Online Network Technology. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of autonomous driving.

Collaborations

Hao has collaborated with talented individuals such as Xiaoxin Fu and Zhenguang Zhu, contributing to the advancement of technology in the autonomous vehicle industry.

Conclusion

Dayang Hao's work in autonomous vehicle technology showcases his commitment to innovation and safety. His patents reflect a deep understanding of the challenges faced in this field and offer solutions that could shape the future of driverless transportation.

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