面向自动驾驶的高近红外反射率激光雷达可探测暗色调材料设计综述[j]。板牙。1/2025)

IF 19 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Advanced Functional Materials Pub Date : 2024-12-31 DOI:10.1002/adfm.202570002

Zambaga Otgonbayar, Jiwon Kim, Minki Sa, Hwa Sung Lee, Jungchul Noh, Chang-Min Yoon

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引用次数: 0

摘要

激光雷达探测暗色调材料

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Designing LiDAR-Detectable Dark-Tone Materials with High Near-Infrared Reflectivity for Autonomous Driving: A Comprehensive Review (Adv. Funct. Mater. 1/2025)

查看原文本刊更多论文

Designing LiDAR-Detectable Dark-Tone Materials with High Near-Infrared Reflectivity for Autonomous Driving: A Comprehensive Review (Adv. Funct. Mater. 1/2025)

LiDAR-Detectable Dark-Tone Materials

In article number 2414876, Jungchul Noh, Chang-Min Yoon, and co-workers comprehensively review LiDAR-detectable dark-tone organic and inorganic materials, providing useful insights for future autonomous vehicle technology. Advancements in developing LiDAR-detectable organic and inorganic pigments with high NIR reflectivity and sophisticated coating systems have enabled autonomous driving, addressing the challenge of NIR reflection in traditional light-absorbing black coatings.

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来源期刊

Advanced Functional Materials 工程技术-材料科学：综合

CiteScore

29.50

自引率

4.20%

发文量

2086

审稿时长

2.1 months

期刊介绍： Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.