Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Integration of bioinspired vision principles towards the design of autonomous guidance, navigation, and control systems

Giakos George C., Farrahi Tannaz, Douard Nicolas, Surovich Michael, Shrestha Simian, Bauman Gloria, Benitati Anthony, Mohamed Hussam Eldin, Giakos Zoe, Ying Nanxu, Zervakis Michail, Livanos Georgios

Full record


URI: http://purl.tuc.gr/dl/dias/863B7604-46EF-454E-BFAD-E1ED4F12249C
Year 2018
Type of Item Conference Full Paper
License
Details
Bibliographic Citation G. Giakos, T. Farrahi, N. Douard, M. Surovich, S. Shrestha, G. Bauman, A. Benitati, H.E. Mohamed, Z. Giakos, N. Ying, M. Zervakis and G. Livanos, "Integration of bioinspired vision principles towards the design of autonomous guidance, navigation, and control systems," in 9th International Conference on Information, Intelligence, Systems and Applications, 2018. doi: 10.1109/IISA.2018.8633643 https://doi.org/10.1109/IISA.2018.8633643
Appears in Collections

Summary

In this study, key-characteristics of different bioinspired vision systems are presented, and their importance in the design of autonomous navigation systems is highlighted. Two paradigms reflecting authors' research efforts in the design of vision systems, mimicking the human and animal retina, are presented. The first paradigm relates to the development of novel polymer nanostructures and nanoantennas aimed at integrating polarization principles with CMOS designs, mimicking bioinspired retina systems. The second paradigm relates to the development and testing of a novel neuromorphic spike event-based polarimetric Dynamic Vision Sensor (DVS), for dynamic imaging of a scene, with enhanced temporal contrast and high object discrimination. The outcome of this study indicates that integration of several bioinspired vision principles, such as polarization of light and neuromorphic detection, play an important role in the design of innovative bioinspired nanomaterials and neuromorphic vision architectures.

Services

Statistics