2020-01-232020-01-232006Carranza González, L., Laviana, R., Vargas Sierra, S., Cuadri Carvajo, J., Liñán Cembrano, G., Roca Moreno, E. y Rodríguez Vázquez, Á.B. (2006). Locust-inspired vision system on chip architecture for collision detection in automotive applications. En IEEE International Symposium on Circuits and Systems (1953-1956), Isla de Kos, Grecia: Institute of Electrical and Electronics Engineers.0-7803-9389-90271-43022158-1525https://hdl.handle.net/11441/92227This 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1109/ISCAS.2006.1692994