Subject title:

Co-optimization of a bio-inspired image sensor and scene analysing technics 

(ref:DRT: Thesis SL-DRT-17-0002)

Abstract

Artificial vision systems (camera(s) and processor(s)) have recognition capabilities well below those achieved by biological systems (eye -cortex). Moreover, biological systems are able to process information within a few milliseconds, which is still out of range of electronic systems, even though their electronic image sensors are far from achieving the resolution of human eyes (few dozen megapixel against more than one hundred million). This thesis aims at addressing the challenge posed by the biology by designing integrated bio-inspired sensor architectures. Our approach is based three assumptions: first, resolution biological imaging sensors is not uniform, the best resolved zone (the fovea) is dedicated to the acquisition of the areas of interest of the scene; secondly, pre-processing from the sensor are used to compress the information; finally, the processing of information is context and prior knowledge dependent. This exploratory thesis, aims to devise, within the frame of these hypothesis, breakthrough solutions with respect to the state of the art, to endow autonomous artificial systems (drones of all kinds (UAV, UGV, …), machine tools, smart camera) of ability to perception of their complex environment, while using only limited resources, i.e. those of embedded systems. The candidate should have strong tastes or skills in image processing and digital architectures.

You can find more http://www-list.cea.fr/index.php/recherche-technologique/programmes-de-recherche/systemes-embarques

LOCATION

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)
Laboratoire Adéquation Algorithmes Architecture
Place: Saclay

Start date of the thesis: 01/10/2017

Contact

Laurent SOULIER
CEA
DRT/DACLE/SCSN/L3A
Institut Carnot CEA LIST
Département Architecture Conception et Logiciels Embarqués
Laboratoire Calcul Embarqué
CEA Saclay Nano-INNOV
Bât 862 PC 172
91191 Gif-sur-Yvette Cedex
France
Phone number: 00169080065
Email: laurent.soulier@cea.fr
News Reporter
Dr. Lu

2 thoughts on “[Thesis 2017/2018] in the area of software and computer science/ scientific engineering

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this:
Skip to toolbar