Single-pixel LIDAR with Deep Learning Optimised Sampling
Autor: | Miles J. Padgett, Neal Radwell, Matthew P. Edgar, Steven D. Johnson, Catherine F. Higham, Roderick Murray-Smith |
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Rok vydání: | 2020 |
Předmět: |
Basis (linear algebra)
Image quality business.industry Computer science Deep learning Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Sampling (statistics) Reconstruction algorithm 02 engineering and technology Iterative reconstruction 021001 nanoscience & nanotechnology 01 natural sciences 010309 optics Lidar 0103 physical sciences Computer vision Artificial intelligence 0210 nano-technology business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Conference on Lasers and Electro-Optics. |
Popis: | We present a LIDAR system that compressively samples a scene using a deeplearning optimised sampling basis and reconstruction algorithm. This approach improves scene reconstruction quality compared to an orthogonal sampling method. |
Databáze: | OpenAIRE |
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