Xin Qi
Papers
1
Total Citations
31
H-Index
1
About
Xin Qi is a leading researcher at the forefront of autonomous driving and intelligent perception systems, with a focus on bridging the gap between digital sensing and the physical world. Their most-cited work, "Autonomous Driving System Driven by Artificial Intelligence Perception Fusion" (2024, 31 citations), has quickly become a cornerstone reference in the field, demonstrating how perception—as the critical information input module—determines the lower limit of any autonomous system. Qi’s major contribution lies in advancing perception fusion techniques that enable vehicles and robots to interpret complex environments with unprecedented accuracy, effectively “digitizing” the real world for machine understanding. By systematically addressing how autonomous driving perception and robotic perception converge toward the physical world, Qi has provided a foundational framework that influences both academic research and practical deployment. This work’s rapid citation growth reflects its immediate relevance to engineers and scientists tackling real-world autonomy challenges. Qi’s research continues to push the boundaries of AI-driven perception, making them a vital voice in the next generation of intelligent transportation and robotics.
Research Focus
Key Achievements
Top Papers
- 1