Integrating deep learning, 3D information analysis, hyperspectral analysis, computer vision analysiscombined the multi-source images to develop fruit quality monitoring techniques, including: planting area monitoring, position monitoring, yield monitoring, harvesting time prediction, fruit maturity measurement, fruit quality testing, to achieve the goal of enhancing industrial value.

In autonomous driving, LiDAR can clearly distinguish the objectsget the object information such as speeddistance at medium-range (~100 m) for autonomous driving scheme entering Level 3. Therefore, in this study, we combine the reflective optical phased array (OPA) chip1550-nm VCSELs with a photodetector, a ToF chip,a microcontroller to produce an eye-safe, all-solid-state,low cost (less than $100 USD) LiDAR module, which is the world＇s leading LiDAR technologymore cost-effective than the current products for autonomous vehicle market.

NCREE has originally developed 5D digital space—on the basis of 3D city models and connections of different kinds of sensors around the world—is an online to offline virtual space with a combination of rising 5G technology advantages. Collecting and reorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling with high-resolution cameras, LiDar point cloud data, etc., can increase the diversity of the building and landscape to make the city more realistic. 5D+5G smart city platform speeds up all aspects of value-add applications of smart cities, including Intelligent Transportation System (ITS), Smart Energy (SE), and Ambient Intelligent (AmI). We expect that the 5D smart city becomes the digital twin of a real city.

Artificial intelligence 3D sensing image processing system based on array sensing Lidar aims to construct 3D image with high-quality immersion for AR/VR. The developed 3D scene recording system is based on the color camerahigh-accuracy chaotic LiDAR. The chaotic Lidar with APD arrayTOF sensors supports millimeter-accuracyinterference-avoiding capability within 100 meter in both indooroutdoor environments. High-performance embedded CNN processor supports high-throughput, high energy-efficient,low DRAM bandwidth computations for various image AI applications.

High-accuracy 3D sensingAI image processing system for constructing high-quality immersion 3D image for AR/VR. Chaotic Lidar with APD arrayTOF sensors supports millimeter-accuracyinterference-avoiding capability. High-performance CNN processor supports high-performancelow DRAM bandwidth computations for various image AI applications.