# CNN-ViT: A multi-feature learning based approach for driver drowsiness detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cnn-vit-a-multi-feature-learning-based-approach-for-driver-drowsiness-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Madduri Venkateswarlu,Venkata Rami Reddy Chirra |
| Citations | 8 |
| DOI | 10.1016/j.array.2025.100425 |
| Fields | Engineering,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.array.2025.100425 |
| OpenAlex ID | https://openalex.org/W4411605110 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Venkata Rami Reddy Chirra](https://scholariq.org/researchers/venkata-rami-reddy-chirra/)

## Paper journal

- [Array](https://scholariq.org/journals/array/)

## Paper primary topic

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)

## Paper topics

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)
- [IoT and GPS-based Vehicle Safety Systems](https://scholariq.org/topics/iot-and-gps-based-vehicle-safety-systems/)
- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

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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.