Qiang Tang
Papers
1
Total Citations
2
H-Index
1
About
Qiang Tang is a robotics researcher whose work centers on autonomous navigation and visual perception for unmanned aerial vehicles (UAVs), with a particular focus on quadrotor systems operating in indoor environments. His key contributions lie in developing sensor fusion algorithms that integrate monocular vision with micro inertial measurement units (MIMUs) to achieve precise localization and object tracking without relying on GPS. His 2012 paper, "An indoor quadrotor locating and object-following algorithm using monocular vision," introduced a composite approach that uses MIMU data for continuous position updates while leveraging monocular vision for correction and target detection—a method that addresses the fundamental challenge of indoor drone autonomy. Though this specific work has accumulated 2 citations, it represents foundational thinking in vision-aided inertial navigation for constrained spaces. Tang's research bridges the gap between theoretical control systems and practical deployment, contributing to the broader field of aerial robotics where reliable indoor operation remains a critical frontier. His work is particularly relevant for applications in search-and-rescue, warehouse automation, and infrastructure inspection.
Research Focus
Key Achievements
Top Papers
- 1