Papers
2
Total Citations
16
H-Index
2
About
Luhan Wang is a researcher specializing in autonomous navigation, vehicular localization, and intelligent robotics. Their work bridges the gap between advanced sensing, mapping, and cooperative systems, with a focus on real-world applications in dynamic environments. Wang’s major contributions include pioneering the concept of Team Channel-SLAM, which enables fleets of vehicles to collaboratively achieve high-resolution localization by leveraging common environmental reflectors. This approach, detailed in their highly cited 2022 paper (13 citations), significantly enhances positioning accuracy and tracking in complex urban settings. Additionally, Wang has advanced autonomous obstacle avoidance and path planning for mobile robots in orchard environments, integrating map construction and localization methods to improve efficiency in agricultural robotics (2026, 3 citations). Their research has implications for smart transportation, precision agriculture, and autonomous systems, demonstrating a commitment to solving practical challenges through innovative algorithmic design. With a growing citation impact, Wang’s work is shaping the future of cooperative localization and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2