# Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrated-deep-learning-framework-for-driver-distraction-detection-and-real/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Rakesh,Naveen Kumar Navuri,Thrimurthulu Vobbilineni,G. Ravi,Karthik Karmakonda,K. Asish Vardhan |
| Citations | 12 |
| DOI | 10.1038/s41598-025-08475-4 |
| Fields | Computer Science,Engineering,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-08475-4.pdf |
| OpenAlex ID | https://openalex.org/W4412353569 |
| PMID | 40645997 |
| Type | article |
| Year | 2025 |

## Paper authors

- [S. Rakesh](https://scholariq.org/researchers/s-rakesh/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Human-Automation Interaction and Safety](https://scholariq.org/topics/human-automation-interaction-and-safety/)

## Paper topics

- [Human-Automation Interaction and Safety](https://scholariq.org/topics/human-automation-interaction-and-safety/)
- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [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.