Transport & Quantum Imaging
Imaging through complex media such as fog, rain and snow are some of the most topical challenges in the autonomous vehicles and assisted drivers’ landscape. We wish to work in collaboration with users and technology providers, to deliver system demonstrators combining optimisation of detector technology, image reconstruction for low-photon and low-cost visible and infrared LIDAR.
Real-time 3D Imaging in Scattering Media Using SPAD Arrays
QuantIC is leading the way in developing SPAD array sensors. The next generation of Quanti4x4 chips will provide >60% fill factor and <10ps temporal resolutions. QuantIC detectors are central to our 3D imaging system which will take advantage of advanced algorithms to image at various wavelengths through obscurant media such as fog, rain, snow, and dust. Our preliminary data shows the operation of the latest SPAD array sensor at 30 frames per second, capturing 3D data at a stand-off distance of 320m. InGaAs arrays will be used to demonstrate the advantages of SWIR operation, which we will strive to achieve with the lower cost silicon array using Ge-on Si technology.
Underwater Sparse-Photon Imaging
QuantIC is at the forefront of underwater LIDAR having demonstrated imaging at a record breaking 9.2 attenuation lengths. Using a constructed submersible platform capable of field trials in open water our ambition is to pursue both raster-scanning and focal plane array systems optimising the rejection of back-scattered light.
Wavelength Transformation Camera
We have demonstrated that waveguides fabricated from nonlinear materials (e.g. PPLN) can convert infrared light at 3-5µm into visible wavelengths by nonlinear mixing. When applied to imaging the waveguide modes scramble the output. Our ambition is to employ machine learning to reconstruct the image thereby making a wavelength transformation system for infrared imaging.
Non-line-of-sight imaging is an emerging quantum technology. To date we achieved tracking of an object behind a wall or corner at >300m distances in broad daylight and in the open air. Moving forward, we aim to: (i) develop the technology into a prototype of comparable size to standard LIDAR systems with the ability to detect motion of objects from a moving vehicle; (ii) develop full 3D, hyperspectral imaging capability.
REAL TIME 3D IMAGING
Discover how Single-photon Lidar will help autonomous vehicles see through fog, snow and rain.
NON LINE OF SIGHT IMAGING
By combining sensitive cameras with computer algorithms, we can reveal those objects that were hidden from view, enabling detection of objects and or motions around corners. Autonomous vehicles can utilise this technology to identify hidden hazards and have 360 degree awareness.