Location History:
- Changhua County, TW (2018)
- Changhua Hsien, TW (2018)
- Lugong, TW (2017 - 2019)
Company Filing History:
Years Active: 2017-2019
Title: Innovations by Chuan-Ren Li in Obstacle Detection Technology
Introduction
Chuan-Ren Li is a notable inventor based in Lugong, Taiwan. He has made significant contributions to the field of obstacle detection technology, holding a total of 4 patents. His work focuses on enhancing the reliability and efficiency of systems used in automotive applications.
Latest Patents
One of his latest patents is titled "Method for evaluating credibility of obstacle detection." This method is designed to be implemented by a processor connected to a storage device and an image capturing device. It includes steps for performing first and second classifications on an image received from the image capturing device to obtain results of obstacle detection. The method also determines whether there is a distinct obstacle and calculates a penalty score to update a credibility score.
Another significant patent is "Hierarchical system for detecting object with parallel architecture and hierarchical method thereof." This system includes an image-retrieving device that retrieves images and searches for obstacle position images. It employs parallel architecture classification to obtain object images and cropping frames, using convolutional neural networks to recognize characteristic values and detect objects outside a vehicle.
Career Highlights
Chuan-Ren Li is currently employed at the Automotive Research & Testing Center, where he continues to innovate in the field of automotive technology. His work has been instrumental in developing systems that improve safety and efficiency in vehicle navigation.
Collaborations
He collaborates with talented coworkers such as Kuo-Ching Chang and Li-You Syu, contributing to a dynamic research environment that fosters innovation.
Conclusion
Chuan-Ren Li's contributions to obstacle detection technology demonstrate his commitment to advancing automotive safety and efficiency. His innovative patents reflect a deep understanding of the challenges in this field and a dedication to finding effective solutions.