Xuejin Wu
Papers
1
Total Citations
17
H-Index
1
About
Dr. Xuejin Wu is a leading researcher at the forefront of autonomous vehicle technology and intelligent robotics, specializing in multimodal information fusion and decision-making systems. Her seminal work, "Research on obstacle avoidance optimization and path planning of autonomous vehicles based on attention mechanism combined with multimodal information decision-making thoughts of robots" (2023), has garnered 17 citations for its innovative integration of attention mechanisms with multimodal sensory data—a breakthrough that significantly enhances real-time obstacle avoidance and path planning in complex environments. By fusing visual, LiDAR, and other sensor inputs with cognitive decision-making frameworks, Dr. Wu has advanced the safety and efficiency of autonomous navigation systems. Her research directly addresses critical challenges in the transportation industry, including vehicle perception under dynamic conditions and the optimization of robotic decision-making. Dr. Wu’s contributions are shaping the next generation of intelligent transport, offering practical solutions for safer, more reliable autonomous driving. Her work stands as a cornerstone for researchers and engineers developing cutting-edge autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1