# Real-Time Road Lane-Lines Detection using Mask-RCNN Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/real-time-road-lane-lines-detection-using-mask-rcnn-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gulbakhram Beissenova,Dinara Ussipbekova,Ф.Р. Султанова,Karasheva Nurzhamal,Gulmira Baenova,Marzhan Suimenova,Kamar Rzayeva,Zhanar Azhibekova,Aizhan Ydyrys |
| Citations | 3 |
| DOI | 10.14569/ijacsa.2024.0150583 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://thesai.org/Downloads/Volume15No5/Paper_83-Real_Time_Road_Lane_Lines_Detection.pdf |
| OpenAlex ID | https://openalex.org/W4399250494 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Gulbakhram Beissenova](https://scholariq.org/researchers/gulbakhram-beissenova/)

## Paper journal

- [International Journal of Advanced Computer Science and Applications](https://scholariq.org/journals/international-journal-of-advanced-computer-science-and-applications/)

## Paper primary topic

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

## Paper topics

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.