SLAM Imaging Pipeline for High Dynamic Range Digital Pixel Image Sensor

Chiao Liu; Andrew Berkovich; Raffaele Capoccia; Song Chen; Tsung-Hsun Tsai

doi:10.1364/COSI.2021.CF2B.5

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CF2B.5
•https://doi.org/10.1364/COSI.2021.CF2B.5

SLAM Imaging Pipeline for High Dynamic Range Digital Pixel Image Sensor

Chiao Liu, Andrew Berkovich, Raffaele Capoccia, Song Chen, and Tsung-Hsun Tsai

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Architectures for Optical Signal Processing (CF2B)

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C. Liu, A. Berkovich, R. Capoccia, S. Chen, and T. Tsai, "SLAM Imaging Pipeline for High Dynamic Range Digital Pixel Image Sensor," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CF2B.5.

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Abstract

Digital pixel sensors (DPS) hold great potential for computer vision applications such as SLAM. In this paper, we describe an end-to-end vision system for SLAM benchmarking, including the DPS, ISP, and exposure control.

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