Yanjun Huang
Tongji University, University of Waterloo, Institute of Navigation
Papers
3
Total Citations
62
H-Index
2
About
Yanjun Huang is a leading researcher in autonomous vehicle systems, with a primary focus on integrated decision-making and control architectures. His most impactful work challenges the traditional robotics-inspired separation of planning and control by proposing a novel combined decision and control scheme based on adaptive model predictive control for autonomous vehicles in structured road environments. This approach, detailed in his highly cited 2022 paper (57 citations), addresses fundamental differences between robots and autonomous vehicles to improve reliability and performance. Huang's broader research encompasses path planning, navigation, and the kinematics of parallel mechanisms, including studies on 3-DOF systems and their orientation capabilities. His contributions are particularly valuable for students and engineers working on autonomous driving, as they bridge critical gaps between theoretical control methods and practical vehicle dynamics. By rethinking conventional hierarchical architectures, Huang's work offers a more cohesive framework for developing safer, more efficient autonomous navigation systems, making him an influential voice in the evolution of intelligent transportation technologies.
Research Focus
Key Achievements
Top Papers
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