Locust-inspired vision system on chip architecture for collision detection in automotive applications
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 de...
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| creator | Carranza, L. Laviana, R. Vargas, S. Cuadri, J. Linan, G. Roca, E. Rodriguez-Vazquez, A. |
| description | 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 |
| doi_str_mv | 10.1109/ISCAS.2006.1692994 |
| format | Conference Proceeding |
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| ispartof | 2006 IEEE International Symposium on Circuits and Systems (ISCAS), 2006, p.4 pp.-1956 |
| issn | 0271-4302 2158-1525 |
| language | eng |
| recordid | cdi_ieee_primary_1692994 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Arithmetic Automotive applications Automotive engineering Computer architecture Computer vision Machine vision Microcontrollers Neural networks Neurons System-on-a-chip |
| title | Locust-inspired vision system on chip architecture for collision detection in automotive applications |
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