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Concentric rainbows are produced when white light is reflected by microscale concave interfaces. This image shows the experimental set-up. (Credit: Jacob Rada)
Concentric rainbows are produced when white light is reflected by microscale concave interfaces. This image shows the experimental set-up. (Credit: Jacob Rada)

This rainbow-making tech could help autonomous vehicles read signs

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Tue, Aug 31st 2021 05:30 pm

Study explains physics behind reflective microscale concave interfaces – structures that reflect light in fascinating ways

By the University at Buffalo

A new study explains the science behind microscale concave interfaces (MCI) – structures that reflect light to produce beautiful and potentially useful optical phenomena.

“It is vital to be able to explain how a technology works to someone before you attempt to adopt it. Our new paper defines how light interacts with microscale concave interfaces,” says University at Buffalo engineering researcher Qiaoqiang Gan, noting that future applications of these effects could include aiding autonomous vehicles in recognizing traffic signs.

The research was published online on Aug. 15 in Applied Materials Today, and is featured in the journal’s September issue.

Gan, Ph.D., professor of electrical engineering in the UB School of Engineering and Applied Sciences, led the collaborative study, which was conducted by a team from UB, the University of Shanghai for Science and Technology, Fudan University, Texas Tech University and Hubei University. The first authors are Jacob Rada, UB Ph.D. student in electrical engineering; and Haifeng Hu, Ph.D., professor of optical-electrical and computer engineering at the University of Shanghai for Science and Technology.

Reflections that Form Concentric Rings of Light

The study focuses on a retroreflective material – a thin film that consists of polymer microspheres laid down on the sticky side of a transparent tape. The microspheres are partially embedded in tape, and the parts that protrude form MCIs.‚Äč

White light shining on this film is reflected in a way that causes the light to create concentric rainbow rings, the new paper reports. Alternately, hitting the material with a single-colored laser (red, green or blue, in the case of this study) generates a pattern of bright and dark rings. Reflections from infrared lasers also produced distinctive signals consisting of concentric rings.

The research describes these effects in detail, and reports on experiments that used the thin film in a stop sign. The patterns formed by the material showed up clearly on both a visual camera that detects visible light, and a LIDAR (laser imaging, detection and ranging) camera that detects infrared signals, says Rada, the co-first author from UB.

“Currently, autopilot systems face many challenges in recognizing traffic signs, especially in real-world conditions,” Gan says. “Smart traffic signs made from our material could provide more signals for future systems that use LIDAR and visible pattern recognition together to identify important traffic signs. This may be helpful to improve the traffic safety for autonomous cars.”

Rada says, “We demonstrated a new combined strategy to enhance the LIDAR signal and visible pattern recognition that are currently performed by both visible and infrared cameras. Our work showed that the MCI is an ideal target for LIDAR cameras, due to the constantly strong signals that are produced.”

A U.S. patent for the retroreflective material has been issued, as well as a counterpart in China, with Fudan University and UB as the patent-holders. The technology is available for licensing.

Gan says future plans include testing the film using different wavelengths of light, and different materials for the microspheres, with the goal of enhancing performance for possible applications such as traffic signs designed for future autonomous systems.

In addition to Gan, Rada and Hu, authors of the new Applied Materials Today study include Ph.D. candidate Lyu Zhou, research assistant professor Haomin Song and Ph.D. graduate Xie Zeng in the UB department of electrical engineering; Jing Zeng, Ph.D., and Limin Wu, Ph.D., at Fudan University; Shakil Shimul, Ph.D., and Wei Li, Ph.D., at Texas Tech University; Wen Fan, Ph.D., at Hubei University; and Qiwen Zhan, Ph.D., at the University of Shanghai for Science and Technology. The research was partially funded by a grant from the U.S. National Science Foundation.

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