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Locust-inspired vision system on chip architecture for collision detection in automotive applications

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7 Author(s)
Carranza, L. ; Instituto de Microelectron. de Sevilla, CNM-CSIC, Sevilla ; Laviana, R. ; Vargas, S. ; Cuadri, J.
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This paper describes a programmable digital computing architecture dedicated to process information in accordance to the organization and operating principles of the four-layer neuron structure encountered at the visual system of locusts. This architecture takes advantage of the natural collision detection skills of locusts and is capable of processing images and ascertaining collision threats in real-time automotive scenarios. In addition to the locust features, the architecture embeds a topological feature estimator module to identify and classify objects in collision course

Published in:

Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on

Date of Conference:

21-24 May 2006