Xiaoyong Xiong
Papers
1
Total Citations
45
H-Index
1
About
Xiaoyong Xiong is a researcher whose work sits at the intersection of autonomous driving and intelligent vehicle systems, with a particular focus on trajectory planning and path optimization. His most influential contribution, "Application improvement of A* algorithm in intelligent vehicle trajectory planning" (2020), has garnered 45 citations and addresses critical limitations of the classical A* algorithm when applied to real-world vehicular navigation. While A* has proven effective in robot path planning, Xiong identified and resolved practical challenges specific to vehicle dynamics and constraints, advancing the algorithm's applicability in autonomous driving contexts. His work bridges the gap between theoretical pathfinding methods and the demanding requirements of intelligent transportation systems. By refining trajectory planning—a cornerstone technology for self-driving vehicles—Xiong has contributed to making autonomous navigation more efficient, safe, and practically deployable. His research holds particular relevance for engineers and researchers working on motion planning, obstacle avoidance, and real-time decision-making in autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1