Batchimeg Sosorbaram
Papers
1
Total Citations
6
H-Index
1
About
Batchimeg Sosorbaram is a researcher whose work bridges the frontiers of autonomous systems and computer vision, with a particular focus on enhancing the capabilities of unmanned aerial vehicles (UAVs). Her most-cited paper, "Implementation of Autonomous Unmanned Aerial Vehicle with Moving-Object Detection and Face Recognition" (2016, 6 citations), represents a significant contribution to the field of intelligent drone technology. In this work, Sosorbaram pioneered the integration of real-time moving-object detection and face recognition algorithms into autonomous UAV platforms, enabling drones to not only navigate independently but also to identify and track specific targets in dynamic environments. This foundational research has implications for applications ranging from surveillance and search-and-rescue operations to human-robot interaction. Though her citation count reflects the niche and emerging nature of her work, Sosorbaram's contributions are notable for their practical, systems-level approach—demonstrating how cutting-edge AI can be deployed on resource-constrained aerial platforms. Her research serves as an important stepping stone for students and engineers interested in the convergence of robotics, embedded systems, and deep learning, offering a blueprint for building smarter, more responsive autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1