Title :
An Embedded Video Sensor for a Smart Traffic Light
Author :
Matrella, Guido ; Marani, Davide
Author_Institution :
Dipt. Ing. dell´´Inf., Italy
Abstract :
In this article, a motion sensor, based on a video embedded system, is presented. This sensor can detect if a person is on a crosswalk near a traffic light: if this event occurs while pedestrians have the stop sign, then a warning alarm to incoming drivers can be generated. The system innovation consists of the fact that no PC for video image processing is needed, but the motion sensor consists of a smart camera with embedded processing. This is obtained using an embedded system based on a high density FPGA programmable logic, which contains a soft-microprocessor-IP core and specific circuits dedicated to the execution of a Particle Swarm Optimization (PSO) algorithm. The proposed framework is such that the phases of design, simulation, implementation, prototyping and debugging are closely related in a tested design flow that uses the most modern methodologies and efficient prototyping tools.
Keywords :
embedded systems; field programmable gate arrays; handicapped aids; image motion analysis; intelligent sensors; microprocessor chips; object detection; particle swarm optimisation; traffic engineering computing; video signal processing; PSO algorithm; embedded processing; embedded video sensor; high density FPGA programmable logic; motion sensor; particle swarm optimization; person detection; prototyping tools; smart camera; smart traffic light; soft-microprocessor-IP core; system innovation; tested design flow; video embedded system; video image processing; warning alarm; Algorithm design and analysis; Cameras; Field programmable gate arrays; Hardware; Mathematical model; SDRAM; Embedded System; FPGA; PSO algorithm; Smart Traffic Light;
Conference_Titel :
Digital System Design (DSD), 2011 14th Euromicro Conference on
Conference_Location :
Oulu
Print_ISBN :
978-1-4577-1048-3
DOI :
10.1109/DSD.2011.102
