# Indian traffic sign detection and recognition using deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/indian-traffic-sign-detection-and-recognition-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajesh Kannan Megalingam,Kondareddy Thanigundala,Sreevatsava Reddy Musani,Hemanth Nidamanuru,Lokesh Gadde |
| Citations | 129 |
| DOI | 10.1016/j.ijtst.2022.06.002 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.ijtst.2022.06.002 |
| OpenAlex ID | https://openalex.org/W4283524135 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Rajesh Kannan Megalingam](https://scholariq.org/researchers/rajesh-kannan-megalingam/)

## Paper journal

- [International Journal of Transportation Science and Technology](https://scholariq.org/journals/international-journal-of-transportation-science-and-technology/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)

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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.