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| Content Provider | Springer Nature Link |
|---|---|
| Author | Agunbiade, Olusanya Y. Ngwira, Seleman M. Zuva, Tras |
| Copyright Year | 2014 |
| Abstract | Drivable terrain detection is a significant feature of study receiving attention from many researchers because of its contribution to successful navigation of autonomous drivable system. However, various vision-based techniques for drivable terrain detection with incredible result exist. Irrespective of these successes, light intensity is an environmental noise that makes their system fail because it has the capability to cause erroneous detection of drivable terrain. In this paper, after a brief examination of light intensity effect, we optimized by introducing a filtering algorithm into the drivable terrain detection system to address the problem of light intensity during the day. Experimental performance of the optimized system was tested qualitatively. Quantitative comparison based on accuracy rate (ACC), error rate (ERR), total positive rate (TPR), false negative rate (FNR), total negative rate (TNR), false positive rate (FPR), and precision (PRE) are used to test the system. The result of the proposed system shows a better performance and has improved enormously the navigation of the autonomous driving system. |
| Starting Page | 629 |
| Ending Page | 636 |
| Page Count | 8 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 74 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2014-06-08 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Autonomous driving system Vision-based system Filtering algorithm Light intensity and navigation Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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