This inventor holds 1 USPTO granted patent. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Xiaochen Qiu and Multi-Sensor Confidence for Autonomous Vehicles.
Introduction
Xiaochen Qiu is an inventor based in Beijing, China, associated with Beijing Baidu Netcom Science Technology Co., Ltd. His patent work addresses how autonomous vehicles can assess the confidence of positioning measurements by comparing information from multiple sensors.
Latest Patents
The provided information lists one patent for Qiu: “Method for Obtaining Confidence of Measurement Value Based on Multi-Sensor Fusion and Autonomous Vehicle.” The method determines a positioning component’s measured positions at two different moments and calculates the distance between them. It also uses the vehicle’s inertial measurement and wheel-speed information over the same interval to estimate a second distance. By comparing these distance estimates, the method obtains a confidence value for the later positioning measurement. This approach is intended to support the evaluation of measurement reliability in autonomous vehicles.
Career Highlights
Qiu’s listed patent reflects work at the intersection of sensor fusion, vehicle positioning, and autonomous driving. The disclosed method combines positioning measurements with inertial and wheel-speed data to assess confidence in a vehicle’s measured position.
Collaborations
The information provided identifies Feng Cheng and Wenjie Liu as Qiu’s coworkers. It does not specify their roles in the patent or describe particular collaborations.
Conclusion
Xiaochen Qiu’s listed invention focuses on improving confidence assessment for autonomous-vehicle positioning through multi-sensor data fusion.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile