Designing Black Yet Highly LiDAR-detectable Double-shell Hollow Nanoparticles for Autonomous Driving Environments

  • Kim, Jiwon; 
  • Otgonbayar, Zambaga; 
  • Jekal, Suk; 
  • Sa, Minki; 
  • Kim, Chan-Gyo; 
  • ... Yoon, Chang -Min; 
  • 외 4명
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초록

Novel LiDAR-detectable black double-shell hollow nanoparticles (BDS-HNPs) with internal white shell are successfully utilized as materials for autonomous vehicle paint for the first time. These BDS-HNPs are carefully designed to achieve excellent near-infrared (NIR) reflectance, blackness, hydrophilicity, and applicability as monolayer coatings. An emphasis is placed on the NIR reflectance by forming double-shell hollow morphologies embracing the internal white shell and multiple interfaces within the nanoparticles. Accordingly, the BDS-HNPs exhibit NIR reflectance of ca. 33.2, 36.9, and 40.9 R% at wavelengths of 793, 850, and 905 nm, respectively, comparable to NIR reflectance of the commercially available NIR-reflective bilayer dark-tone coating. For the practical LiDAR visualization, BDS-HNPs mixed with hydrophilic varnish are spray-coated onto the various objects. As a result, the BDS-HNPs-painted objects are clearly recognized by three different types of LiDAR sensors (robot, rotating, and MEMs mirror) under various conditions of inside and outside. These results clearly demonstrate the great potential of BDS-HNPs as a new type of LiDAR-detectable black material for future autonomous driving environments.

키워드

Autonomous driving; LiDAR sensor; Black material; Double -shell; Near -infrared; SIZE; PERFORMANCE; DEFECTS; PIGMENT; ARRAYS
제목
Designing Black Yet Highly LiDAR-detectable Double-shell Hollow Nanoparticles for Autonomous Driving Environments
저자
Kim, Jiwon; Otgonbayar, Zambaga; Jekal, Suk; Sa, Minki; Kim, Chan-Gyo; Kim, Ha-Yeong; Chu, Yeon-Ryong; Sim, Hyung Sub; Noh, Jungchul; Yoon, Chang -Min
DOI
10.1016/j.cej.2024.152902
발행일
2024-08-15
유형
Article
저널명
Chemical Engineering Journal
권
494