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https://elib.vku.udn.vn/handle/123456789/3271
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Phan, Thi Lan Anh | - |
dc.date.accessioned | 2023-10-25T04:15:22Z | - |
dc.date.available | 2023-10-25T04:15:22Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.issn | 2278-4721 (e) | - |
dc.identifier.uri | http://elib.vku.udn.vn/handle/123456789/3271 | - |
dc.description | Research Inventy: International Journal of Engineering And Science; Vol.13, Issue 6; pp: 79-87 | vi_VN |
dc.description.abstract | Today, automatic technology is being researched for application in all aspects of life from the applications of the home to the industry. In this trend, self-driving cars are also one of the fields that many researchers and companies are interested in and develop in both theoretical and experimental fields. Current studies have applied image processing to detect lanes and obstacles, but have not provided a solution when facing problems such as blurred, broken lane lines, tree shadows, and building shadows. They are the main reasons for reducing the accuracy of the algorithm. In this paper, we study, design, and do experiments based on hardware, which is Raspberry Pi, a Pi camera using Opencv and Neural Network to build self-driving cars capable of recognizing lanes and recognizing lanes. notice boards. | vi_VN |
dc.language.iso | en | vi_VN |
dc.publisher | Research Inventy: International Journal of Engineering And Science | vi_VN |
dc.subject | Self-driver car | vi_VN |
dc.subject | image processing | vi_VN |
dc.subject | convolution nerural network | vi_VN |
dc.subject | Raspberry Pi | vi_VN |
dc.subject | camera Pi | vi_VN |
dc.subject | Arduino uno | vi_VN |
dc.title | Research, design, and experiment the autonomous car using AI | vi_VN |
dc.type | Working Paper | vi_VN |
Appears in Collections: | NĂM 2023 |
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