이화성 교수 연구실
review|
bronze
·인용수 2
·2024
Designing LiDAR‐Detectable Dark‐Tone Materials with High Near‐Infrared Reflectivity for Autonomous Driving: A Comprehensive Review (Adv. Funct. Mater. 1/2025)
Zambaga Otgonbayar, Jiwon Kim, Minki Sa, Hwa Sung Lee, Jungchul Noh, Chang‐Min Yoon
IF 19Advanced Functional Materials
초록
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.
키워드
Materials scienceTone (literature)LidarReflectivityOptoelectronicsOpticsNanotechnologyRemote sensingPhysics