Name
Abstract | ||
|---|---|---|
This paper introduces the visual navigation system design of intelligent vehicle. The navigation system architecture and hardware modules are depicted in details. To enhance the speed control of intelligent vehicle, a new control method based on PID and Bang-Bang control is proposed and applied. To solve the problem of precisely identifying navigation line under uneven light and realizing autonomous navigation of the intelligent vehicle, we propose a new method of dynamic threshold and give out its implementation. To enhance the perspective of the Visual Crawling, the system applies Charge Coupled Device (CCD) camera to collect path information. Image transformation is adopted to filter wrong navigation information. Laboratory experiments have proved the stability and accuracy of the whole system. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/MVHI.2010.159 | MVHI |
Keywords | Field | DocType |
bang-bang control,intelligent vehicle,new control method,navigation system architecture,wrong navigation information,navigation line,speed control,system design,autonomous navigation,visual navigation system design,whole system,intelligent vehicle visual navigation,vehicle dynamics,image segmentation,navigation,bang bang control,charged couple device,hardware,ccd camera | Computer vision,Bang–bang control,Crawling,PID controller,Computer science,Navigation system,Systems design,Image segmentation,Artificial intelligence,Mobile robot navigation,Electronic speed control | Conference |
Citations | PageRank | References |
1 | 0.43 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| He Wang | 1 | 1 | 0.43 |
| Yunzhou Zhang | 2 | 219 | 30.98 |
| Quan Yuan | 3 | 8 | 6.54 |
| Hao Wu | 4 | 1 | 0.43 |