Company Filing History:
Years Active: 2022-2025
Title: Jifei Qian: Innovator in Radar Technology
Introduction
Jifei Qian is a prominent inventor based in Campbell, California, known for his significant contributions to radar technology. With a total of five patents to his name, Qian has been at the forefront of developing innovative techniques that enhance vehicle perception systems.
Latest Patents
One of Qian's latest patents is focused on "Radar Double Bounce Detection." This invention discusses techniques for detecting inaccuracies in radar data using a multistage filtering approach. The vehicle captures radar data, which includes a set of radar points. By inputting this data into a machine-learning model, the vehicle can detect objects and generate bounding boxes around them. The system evaluates azimuth, range, and relative velocity to identify false-positive double bounce detections, allowing for modifications to the radar data based on these criteria.
Another notable patent is "Self-Supervised Global Velocity Determination for Perception System." This invention outlines methods for updating data operations within a vehicle's perception system. The system captures environmental data and outputs it to determine the positions of objects over time. By estimating object velocities and comparing them against machine learning model outputs, the system can improve operational decisions, enhancing reaction times and safety outcomes for the vehicle.
Career Highlights
Jifei Qian currently works at Zoox, Inc., a company dedicated to developing autonomous vehicle technology. His work has significantly impacted the field of vehicle perception, making strides in how vehicles interact with their environments.
Collaborations
Qian collaborates with talented individuals such as Subhasis Das and Anton Mario Bongio Karrman, contributing to the innovative projects at Zoox, Inc.
Conclusion
Jifei Qian's work in radar technology and vehicle perception systems showcases his innovative spirit and dedication to improving safety and efficiency in autonomous vehicles. His contributions continue to shape the future of transportation technology.
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