Jinghan Xu

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About

Jinghan Xu is a leading researcher in autonomous driving technology, with a primary focus on decision-making and planning methods for self-driving vehicles. Their most-cited work, a comprehensive 2025 survey on this topic (18 citations), critically examines the gap between optimistic commercial projections and the experimental reality of deploying sophisticated autonomous systems. Xu’s major contribution lies in synthesizing and analyzing the complex algorithmic frameworks that enable self-driving cars to navigate dynamic environments, from path planning to real-time decision-making under uncertainty. By mapping the current state of the art and identifying key challenges—such as safety, scalability, and robustness—Xu provides a foundational resource for researchers and engineers working to bridge the divide between laboratory prototypes and road-ready vehicles. Their work underscores the immense potential of autonomous systems to revolutionize transportation while highlighting the persistent hurdles that must be overcome. With a growing citation impact, Xu is recognized for offering both a critical perspective and a roadmap for future innovation in this rapidly evolving field.