Qin Sun

Papers

Total Citations

302

H-Index

About

Qin Sun is a leading researcher in autonomous navigation and robotics, with a primary focus on simultaneous localization and mapping (SLAM) for indoor environments. Their most influential work, "A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles," has garnered over 300 citations, establishing a foundational benchmark for evaluating SLAM algorithms in real-world settings. Sun's major contribution lies in systematically comparing LiDAR-based SLAM approaches, identifying key trade-offs between accuracy, computational efficiency, and robustness in cluttered indoor spaces. This work has directly informed the design of more reliable navigation systems for autonomous vehicles and service robots. Beyond this landmark study, Sun has advanced the integration of sensor fusion techniques and adaptive mapping strategies, pushing the boundaries of how robots perceive and interact with complex environments. Their research is widely cited by both academic and industrial teams developing autonomous systems, reflecting its practical impact. Sun's achievements include recognition at top robotics conferences and collaborations with autonomous vehicle startups, cementing their role as a key figure in the evolution of indoor navigation technology.