# Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-unmanned-aerial-vehicles-advancements-applications-challenges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Priyanka Suyal,Kamal Kumar Gola,Rohit Kanauzia,Sarthika Dutt,Mridula,Lalit Mohan |
| Citations | 4 |
| DOI | 10.1109/upcon59197.2023.10434789 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4392153351 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rohit Kanauzia](https://scholariq.org/researchers/rohit-kanauzia/)

## Paper primary topic

- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)

## Paper topics

- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [UAV Applications and Optimization](https://scholariq.org/topics/uav-applications-and-optimization/)

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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.