This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2012-2023.
Location History:
- Shanghai, CN (2012)
- Los Altos, CA (US) (2023)
Company Filing History:
Years Active: 2012-2023
Title: Jincheng Li: Innovator in Autonomous Machine Applications
Introduction
Jincheng Li is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of autonomous machine applications, holding a total of 2 patents. His work focuses on enhancing vehicle technology through innovative solutions.
Latest Patents
One of Jincheng Li's latest patents is for an "Automatic high beam control for autonomous machine applications." This invention utilizes a deep neural network (DNN) to automate high beam control for vehicles. The DNN processes sensor data to create pixel-level semantic segmentation masks, allowing the system to differentiate between actionable objects, such as vehicles and pedestrians, and other objects. This technology aims to improve driver visibility while minimizing glare for other road users.
Another notable patent is the "Inverse Hadamard transform converter and system." This system includes a first group of registers for receiving coefficients, a first adder for processing these coefficients, and a second group of registers for storing results. The second adder then combines these results, showcasing Jincheng Li's expertise in advanced signal processing.
Career Highlights
Jincheng Li is currently employed at Nvidia Corporation, a leading technology company known for its innovations in graphics processing and artificial intelligence. His work at Nvidia allows him to collaborate with cutting-edge technologies and contribute to the advancement of autonomous systems.
Collaborations
Some of Jincheng Li's coworkers include Minwoo Park and Stefan Eckart. Their collaboration fosters a creative environment that enhances the development of innovative solutions in the field.
Conclusion
Jincheng Li is a remarkable inventor whose work in autonomous machine applications is paving the way for future advancements in vehicle technology. His patents reflect a commitment to improving safety and efficiency in transportation.