Azat Akhmetyanov

Skolkovo Institute of Science and Technology

Papers

2

Total Citations

7

H-Index

2

About

Azat Akhmetyanov is a robotics researcher specializing in multi-sensor synchronization and affordable computer vision systems for high-dynamic environments. His primary research focuses on enabling precise temporal alignment between smartphone RGB cameras, depth sensors, and inertial measurement units—a critical challenge for robotics applications requiring low-cost, portable sensing platforms. Akhmetyanov’s major contribution is the development of **SmartDepthSync**, an open-source Android application that achieves sub-millisecond synchronization between smartphone RGB and depth camera streams, as well as across multiple devices. This work, published in 2022, has garnered 4 citations and provides the robotics community with a freely available tool for building synchronized multi-view camera systems without expensive external hardware. His earlier 2021 paper on sub-millisecond video synchronization of multiple Android smartphones (3 citations) laid the groundwork by addressing the need for easy-to-setup, affordable multi-camera arrays. By democratizing access to high-precision temporal synchronization, Akhmetyanov’s research enables applications in 3D reconstruction, motion capture, and autonomous navigation using ubiquitous smartphone hardware.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
SmartDepthSync: Open Source Synchronized Video Recording System of Smartphone RGB and Depth Camera Range Image Frames With Sub-Millisecond Precision
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Skolkovo Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago