LiDAR: SPAD Super-Resolution Sensing, a sensor fusion approach

Nature publishes a joint paper of Bonn University, Germany, and Glasgow University, UK, “Super-resolution time-resolved imaging using computational sensor fusion” by C. Callenberg, A. Lyons, D. den Brok, A. Fatima, A. Turpin, V. Zickus, L. Machesky, J. Whitelaw, D. Faccio, and M. B. Hullin.

“Imaging across both the full transverse spatial and temporal dimensions of a scene with high precision in all three coordinates is key to applications ranging from LIDAR to fluorescence lifetime imaging. However, compromises that sacrifice, for example, spatial resolution at the expense of temporal resolution are often required, in particular when the full 3-dimensional data cube is required in short acquisition times. We introduce a sensor fusion approach that combines data having low-spatial resolution but high temporal precision gathered with a single-photon-avalanche-diode (SPAD) array with data that has high spatial but no temporal resolution, such as that acquired with a standard CMOS camera. Our method, based on blurring the image on the SPAD array and computational sensor fusion, reconstructs time-resolved images at significantly higher spatial resolution than the SPAD input, upsampling numerical data by a factor 12×12, and demonstrating up to 4×4 upsampling of experimental data. We demonstrate the technique for both LIDAR applications and FLIM of fluorescent cancer cells. This technique paves the way to high spatial resolution SPAD imaging or, equivalently, FLIM imaging with conventional microscopes at frame rates accelerated by more than an order of magnitude.

Marc. Y. , Tech Leader. Passionate about Cool Techs such as Sensing/AIoT and Tech Management. More at http://4da.tech/

Recommended from Medium

#065 | Is Singapore Is Releasing Mosquitoes Out In The Wild?

Should I get a PhD degree?

5 Tips to Help You Science Better on the Internet

Stay Scientific Jerry!

Miniature, Lightweight, High-Force, Capstan Winch For Mobile Robots

Wine and Taste Receptor Genes

Science: Old Bones and New Methods

Cracking the Lens of Science:

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
For Sensing/AIoT Tech and More

For Sensing/AIoT Tech and More

Marc. Y. , Tech Leader. Passionate about Cool Techs such as Sensing/AIoT and Tech Management. More at http://4da.tech/

More from Medium

DeepLabv1 & DeepLabv2 — Atrous Convolution (Semantic Segmentation)

Enhanced Real-time Semantic Segmentation of Road Scenes — DDRNets

Semantic Image Segmentation for Autonomous Driving

Analysing an Aerial LiDAR Point Cloud dataset