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navigation and control system of intelligent vehicle.<br />

Some typical path such as S-path and different angle<br />

curve road are chosen in test. The picture of intelligent<br />

vehicle searching path in the S-path test is shown in<br />

Fig.7. The maximum speed for this road conditions is<br />

1.6m / s. The picture of intelligent vehicle driving at<br />

turning is shown in Fig.8. The maximum speed for this<br />

road conditions is 1.6m / s.<br />

Figure 5. Straight Road Image<br />

Figure 6. Curve Road Image<br />

The image is 40 × 71 pixels, and it has been enlarged<br />

here for easier looking and recognised. the image of a<br />

curve road is shown in Fig.6. It is a map of right-angle<br />

corner, that is a right-angle of straight road and then right<br />

turn. In this image it’s clear to see that it’s a right turn.<br />

B. Real vehicle test results<br />

Experimental test is carried out in order to check the<br />

VI. CONCLUSION<br />

Seen from Fig.5 and Fig.6, that black navigation line at<br />

road centre can be recognised and displayed in the<br />

picture clearly. It’s also found that picture quality will be<br />

affected of the light strength and the projection<br />

uniformity of the light on the objects. With enough and<br />

uniform light, it will be better in the contrast and color<br />

evenness. It is suggested in Fig.7 that intelligent vehicle<br />

has good performance of searching line, because it can<br />

adjust the front wheel turning angle in time in accordance<br />

with S-path’s change. With Fig.8 the same conclusion can<br />

be gained: when intelligent vehicle rushs out of path<br />

because of too fast speed, the algorithm can find that it is<br />

out of control and give orders of returning to the path.<br />

REFERENCES<br />

Figure 7. intelligent vehicle in S-path test<br />

[1] Huang K, Jin H, and Jiang D. , “Overview of Design for<br />

Korea Intelligent Model Car Design Contest,”<br />

ELECTRONIC ENGINEERING & PRODUCT WORLD,<br />

2006(5), pp. 150-156.<br />

[2] Foster I, Kesselman C, and Nick J M, etal, “Grid Services<br />

for Distributed System Integration,” Computer,<br />

2002,35(6).<br />

[3] Foster I, Kesselman C., “The Grid Blueprint for a New<br />

Computing Infrastructure,” Beijing: Mechanical Industry<br />

Press, 2005.<br />

[4] Hersbkop S, FersterR, and Bui L H, etal, “Host-based<br />

Anomaly Detection Using Wrapping File Systems,” CU<br />

Tech Report, April 2004.<br />

[5] Eskin E., “Probabilistic anomaly detection over discrete<br />

records using inconsistency checks,” Technical report,<br />

Columbia University Computer Science Technical Report,<br />

2002.<br />

[6] DASH P K, W A C., “Anticipatory fuzzy control of power<br />

systems” IEE Proc Cener Transm Distrib, 95, 2 (2), pp.<br />

211-218.<br />

[7] FRANK KLAWONN, ORG GEBHARDT, and UDOLF<br />

KRUSE, “Fuzzy ontrol on the basis of equality relations<br />

with an example from idle speed control,” IEEE<br />

Transactions on Fuzzy Systems, 1995, 3 (3), pp.336 -350.<br />

Figure 8. intelligent vehicle driving at turning.<br />

100

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