Abstract

GIRALDO, Juan J.; ESTRADA, Eliud; PINEDA, Diego F.  and  LOPEZ, Alexander. Design and implementation of a system on chip for navigating and recognizing transit signals on a mobile robotic system. Ing. compet. [online]. 2012, vol.14, n.2, pp.9-23. ISSN 0123-3033.

Due to the fact that the traffic accidents are one of the most relevant causes of deaths in the world, this article aims to expose the design of a System on a Chip (SoC) that has the capacity to recognize some transit signals, obstacles and white lines that delimit a road of a controlled scenery, giving a future prospect in order to implement automatic pilots in real automobiles for helping reduce accident rates. The SoC operates on an FPGA (Field Programmable Gate Array), so that the high speed processing algorithms are implemented in hardware and the low speed processing algorithms are implemented in software. Therefore different hardware modules were developed for video capturing, pre-processing images and controlling white balance in video capture. Also, software algorithms were designed, such as navigation, stereoscopy artificial vision and the intelligent recognition of the transit signals, shaping a set of processes administrated by a Real Time Operative System (RTOS). The SoC >results were obtained through simulations in a robotic platform navigating on a road modeled on a small scale

Keywords : Artificial neural networks; FPGA; Image processing; RTOS; SoC; Stereoscopic vision.

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