Spanish National Research Council · University of Seville
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Funding for the research activities carried out at IMSE-CNM comes primarily from the participation in competitive tender processes. The research is then conducted out via agreements, projects and contracts with national and international public organizations and private companies and organizations.



SMART CIS3D
Smart CMOS image sensors for time-of-flight estimation and embedded analytics of 3D images
PI: Ángel Rodríguez Vázquez
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Type: Research project
Reference: P12-TIC-2338 MO
Funding Body: Junta de Andalucía
Start date: 30/01/2014
End date: 30/06/2019
Funding: 239.894,00 €
Abstract: This project covers the design of image sensors that can simultaneously acquire 2D and 3D images. These sensors are able to provide both intensity maps and depth maps of the scene. One of the different approaches studied is the use of SPADs, i. e. single-photon avalanche diodes. We also contemplate the incorporation of intelligence at the sensor level. The goals are the adaptive the response of the sensors to different image capture conditions, and on-chip image processing and feature extraction.
This project covers the many different levels in the development of the sensors, from the photosensitive structures to system-on-a-chip demonstrators. We contemplate the design of the pixel circuitry, data readout and data conversion, as well as the processing blocks that confer intelligence to the sensor. We will explore the use of architectures that exploit the operation of multi-functional pixels. We will consider processing architectures based in distributed resources, like multicore architectures, based on our previous experience. We will emphasize the development of re-usable architectures using heterogeneously distributed topographic processors. In these architectural concept, processing structures are distributed across the focal plane with a different scale than the elementary sensor array. Their interaction is assigned dinamically based on the on-line identification of salient points and image features.