Vision-based path detection of an automated guided vehicle using flower pollination algorithm
The automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination algorithm (FPA) is applied in the path detection system of an AGV, in combination with computer vision. The path detection system starts with i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209044792030215X |
| _version_ | 1819068319427198976 |
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| author | Pauline Ong Winson Kar Shen Tan Ee Soong Low |
| author_facet | Pauline Ong Winson Kar Shen Tan Ee Soong Low |
| author_sort | Pauline Ong |
| collection | DOAJ |
| description | The automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination algorithm (FPA) is applied in the path detection system of an AGV, in combination with computer vision. The path detection system starts with image acquisition using an onboard camera. The captured image is then preprocessed to obtain simple contrast of the path. Subsequently, the FPA is used to find a set of solution points fall inside the path zone. A regression model is formed as path guidance for AGV to travel accordingly. The performance of FPA is analyzed via simulation and real-world experiment using a robotic platform and tested on commonly seen line patterns in the industrial environment. The effectiveness of FPA in path detection is also compared with particle swarm optimization. The obtained results demonstrate the promising feasibility of the proposed FPA-based path detection system. |
| first_indexed | 2024-12-21T16:32:16Z |
| format | Article |
| id | doaj.art-4a76f920c70b4f33a28f513d6a4ea370 |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-21T16:32:16Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-4a76f920c70b4f33a28f513d6a4ea3702022-12-21T18:57:19ZengElsevierAin Shams Engineering Journal2090-44792021-06-0112222632274Vision-based path detection of an automated guided vehicle using flower pollination algorithmPauline Ong0Winson Kar Shen Tan1Ee Soong Low2Corresponding author.; Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, MalaysiaFaculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, MalaysiaFaculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, MalaysiaThe automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination algorithm (FPA) is applied in the path detection system of an AGV, in combination with computer vision. The path detection system starts with image acquisition using an onboard camera. The captured image is then preprocessed to obtain simple contrast of the path. Subsequently, the FPA is used to find a set of solution points fall inside the path zone. A regression model is formed as path guidance for AGV to travel accordingly. The performance of FPA is analyzed via simulation and real-world experiment using a robotic platform and tested on commonly seen line patterns in the industrial environment. The effectiveness of FPA in path detection is also compared with particle swarm optimization. The obtained results demonstrate the promising feasibility of the proposed FPA-based path detection system.http://www.sciencedirect.com/science/article/pii/S209044792030215XAutomated guided vehicleFlower pollination algorithmLine detectionLine followerMachine vision |
| spellingShingle | Pauline Ong Winson Kar Shen Tan Ee Soong Low Vision-based path detection of an automated guided vehicle using flower pollination algorithm Ain Shams Engineering Journal Automated guided vehicle Flower pollination algorithm Line detection Line follower Machine vision |
| title | Vision-based path detection of an automated guided vehicle using flower pollination algorithm |
| title_full | Vision-based path detection of an automated guided vehicle using flower pollination algorithm |
| title_fullStr | Vision-based path detection of an automated guided vehicle using flower pollination algorithm |
| title_full_unstemmed | Vision-based path detection of an automated guided vehicle using flower pollination algorithm |
| title_short | Vision-based path detection of an automated guided vehicle using flower pollination algorithm |
| title_sort | vision based path detection of an automated guided vehicle using flower pollination algorithm |
| topic | Automated guided vehicle Flower pollination algorithm Line detection Line follower Machine vision |
| url | http://www.sciencedirect.com/science/article/pii/S209044792030215X |
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