An Intelligent Navigation Design Based On Android System

As a part of artificial intelligent, the Robot has been studied in the field of traffic,industry, and military. Except of being used to explore outer space or to execute adangerous mission, more and more Robots have been produced for civil use.Target recognition, path planning, obstacle recognition are the top three issues inrobotics research, which have been widespread concerned. Paper used the newAndroid smart phone as the control center, designed a smart mobile car with usingBluetooth and wifi wireless communication to transform messages. The main task iscontrolling the car to move to the target in shortest time without touching any possibleobstacle. System can be divided into three parts: smart car hardware design, systemdesign on smart phone and software design on PC.Paper discussed how to transform the camera on phone to an environmentalsensor. The environmental map was built on the data acquired by visual rangingmodule. The camera picture was combined with the map via image fusion for thepurpose of navigation.With the popularity of camera equipment, as a new non-contact distancemeasurement mode, the application prospects of visual ranging is very bright. Paperpresented a new algorithm on monocular vision ranging, which is called ground-basedvision ranging. Experimental results demonstrate that the proposed ranging algorithmhas high reliability, the results were satisfactory.After comparing variety of path planning algorithm, the Ant Colony algorithmhad been chosen for path planning and some improvement had been applied on theAnt System. Using the proposed algorithm for solving the shortest path problem canspeed up the execution; the output is more suitable for car traveling line paths.Finally, the paper verified by experiments performed design effect, theexperiment proved the basic thesis of the research data is correct, you can getsatisfactory results.