Tech can help autonomous vehicles read signals

A new study explores the science behind MICI interfaces – reflecting light to produce beautiful and possible optical phenomena.

It is important to explain how a technology works for a person before attempting to accept it. Our new paper explains how light connects with microscopic interfaces, ”said Kiyaoyang Gan, a UBB engineering researcher.

The study was published online today, August 15, and is featured in the September issue of the magazine.

Gan, Professor of Electrical Engineering, School of Engineering and Applied Sciences, led the study. , A team led by Shanghai University of Science and Technology, Fudan University, Texas Tech University and Hubei University. The first authors were Yaoub Rada, a UB PhD student in electrical engineering, and Heifang Hu, a professor of optical electrical and computer engineering for science and technology at the University of Shanghai.

The study focuses on the subject matter – a thin film containing polymer microphones placed on a transparent tape. The microphones are partially embedded in the tape, and the output components create MCIs.

According to the new paper, the white light reflected in this film is reflected in the way the light creates rainbow rings. Alternatively, hitting the subject with a single color laser (red, green, or blue, in this case) creates a pattern of bright and dark rings. Infrared light emitting diodes have a unique set of center rings.

The study details these results, and reports on experiments using the thin film in a stop sign. Material patterns are clearly visible on both the LIDAR (laser image, recognition, and level) camera, which detects both visible light and infrared signals, from U.

“Currently there are many challenges in identifying traffic signs, especially in real-world situations,” says Gan. “Modern traffic signals made from our equipment can provide additional signals for future systems that use LIDAR and visible design recognition to identify important traffic signals. This can be useful to improve the safety of self-driving cars.

“We have introduced a new integrated strategy to enhance the current LIDAR signal and visual design,” said Rada. Our work has shown that MCI is a suitable target for LIDAR cameras due to a series of strong signals.

American retroreflective material, as well as its affiliate in China, is owned by Fudan University and Ubi. The technology is licensed.

According to Gan, future plans include testing the film using a variety of light wavelengths and various materials for Microsoft, with the aim of achieving performance for potential applications for autonomous traffic signals.

In addition to Gan, Rada and Hu, the new applied materials study authors are PhD candidate Liu Zoo, assistant professor of research, Haomin Song, and PhD graduate Xie Zeng, all from ABB Electrical Engineering; Jing Zong and Limin W from Fudan University; From the University of Texas Tech Shakil Shimul and Wei Lee; Wayne Fan from Hubby University; And Qiwen Zhan from Shanghai University for Science and Technology. The study was partially funded by the US National Science Foundation.


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