Delgermaa Gankhuyag
Papers
1
Total Citations
6
H-Index
1
About
Delgermaa Gankhuyag is a rising researcher at the intersection of autonomous vehicle technology and human-machine interaction. Her work focuses on the critical challenge of integrating autonomous and manually controlled vehicles, a key area for advancing road safety and the practical deployment of self-driving systems. Her most cited paper, "Interaction of Autonomous and Manually Controlled Vehicles: Multiscenario Vehicle Interaction Dataset" (2024), addresses the fundamental need for high-quality sensor data to train and validate autonomous driving algorithms. By providing a comprehensive, multi-scenario dataset, Gankhuyag’s contribution enables more robust and safe interactions between AI-driven and human-driven vehicles. With 6 citations already, this work is gaining traction as a foundational resource in the field. Her research is essential for bridging the gap between current automotive technology and a future of fully autonomous, accident-free roads.
Research Focus
Key Achievements
Top Papers
- 1