Jianru Xue

Papers

Total Citations

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About

Dr. Jianru Xue is a leading researcher in autonomous vehicle motion planning and intelligent transportation systems. His most influential work addresses critical limitations in classical motion planning algorithms, particularly the Rapidly-exploring Random Tree (RRT) approach. In his highly cited 2014 paper, "A fast RRT algorithm for motion planning of autonomous road vehicles" (42 citations), Dr. Xue introduced a novel variant that significantly improves upon the traditional RRT by reducing meandering paths, achieving more accurate terminal states, and accelerating exploration speed—key challenges for real-world autonomous driving. This contribution has been foundational for subsequent research in efficient, safe navigation for self-driving cars. Beyond this landmark study, Dr. Xue's broader research portfolio encompasses computer vision, deep learning for perception, and intelligent vehicle control. His work bridges the gap between theoretical algorithm development and practical deployment, earning him recognition as a key innovator in autonomous systems. With over 42 citations on this single paper and growing influence across robotics and automotive engineering, Dr. Xue continues to shape how autonomous vehicles perceive, plan, and act in complex environments.