Shi‐Jia Pei

Toyota Technological Institute

Papers

1

Total Citations

2

H-Index

1

About

Shi-Jia Pei has made notable contributions to the field of intelligent vehicle control, with a particular focus on enhancing driver safety and comfort through advanced steering support systems. His key research areas include feedback control theory, path tracking optimization, and human–vehicle interaction dynamics. In his most cited work, Pei developed a novel feedback control method for steering support systems that integrates flatness-based control with particle swarm optimization. This approach addresses the critical challenge of maintaining system stability under steering angle constraints, ensuring safer and more comfortable driving experiences. By deriving a linearized system model, Pei’s method enables precise path tracking while respecting physical limitations, a significant step toward practical autonomous driving assistance. Although his citation count reflects the early stage of his research career, the technical rigor and real-world applicability of his work underscore its potential for future impact. Pei’s research bridges theoretical control engineering and applied automotive systems, offering valuable insights for students and researchers interested in vehicle dynamics, optimization algorithms, and human-centered automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Feedback control for steering support system based on flatness and particle swarm optimization
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Toyota Technological Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago