Yuanbin Yu
Papers
1
Total Citations
45
H-Index
1
About
Dr. Yuanbin Yu is a leading researcher in autonomous driving and intelligent vehicle systems, with a primary focus on trajectory planning and path optimization algorithms. His most-cited work, "Application improvement of A* algorithm in intelligent vehicle trajectory planning" (2020, 45 citations), addresses critical limitations of the classical A* algorithm when applied to real-world vehicle navigation. Dr. Yu identified and resolved key practical challenges—such as computational efficiency, smoothness of paths, and adaptability to dynamic environments—that hinder the direct application of traditional robotic path planning methods to autonomous vehicles. This contribution has been instrumental in bridging the gap between theoretical algorithm design and practical deployment in intelligent transportation systems. By enhancing the A* algorithm's performance for vehicular contexts, his research supports safer, more efficient autonomous driving. With 45 citations, this paper stands as a foundational reference for scholars and engineers working on trajectory planning, demonstrating Dr. Yu’s impact in advancing the field. His work continues to influence the development of smarter, more responsive autonomous vehicle technologies.
Research Focus
Key Achievements
Top Papers
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