Research And Simulation Design Of The Blind Guiding System Of Direction And Speed Integrated Control Based On FPGA

Guide aids is a kind of auxiliary tool for blind and visually impaired, it can make walk safely for blind. Usually, 70% of human activities dependent on the visual, once the vision collapse, bring all sorts of questions not only for the life,but also study and work, so guide aids become an important part of the necessaries of life for blind. This paper based on FPGA technology, positioning and navigation technology, image processing technology and intelligent control,to guide the car control system simulation research and design. The whole system is divided into normal blind road travel, obstacle avoidance and travel through the intersection, and on three conditions come up with the control algorithm for guiding car. System uses FPGA technology and uses MATLAB simulate to algorithm, and conduce waveform simulation on the Quartus II.Based on principle of beforehand aiming and tracking, the guiding car walking on the blind road, for the blind road centerline detection and tracking this paper proposed a kind of integral control model on direction and speed of plane geometry constraints, and proposed self-tuning steering gear control algorithm based on fuzzy rules to realize blind road car on blind normal progression; In the whole process of the travel of the blind road car is an obstacle detection and obstacle avoidance. This paper adopts “improve BUG algorithm base on the fuzzy control” realize obstacle avoidance control. For traffic identification part, using digital image processing technology, to deal with car collection of traffic status information, according to the shape characteristics of pedestrian traffic lights to determine areas for traffic lights, put forward "combined with the RGB and IHS threshold segmentation algorithm", interestedarea is extracted based on color features and geometric features, using mathematical morphological to candidate regional characteristics and use of template matching to complete the recognition of traffic lights.At various stages of the simulation results show that the system has strong real-time performance, can well realize normal blind road travel, obstacles,obstacle avoidance and traffic identification process control. To save time, has advantages of time saving, high efficiency, good treatment effect, can satisfy the blind control system of the real-time and accuracy requirements.