Jianqiang Xu
Papers
1
Total Citations
7
H-Index
1
About
Dr. Jianqiang Xu is a leading researcher in intelligent vehicle systems and road safety technologies, with a primary focus on enhancing automotive active safety through advanced machine learning and sensor fusion. His most impactful work centers on developing real-time identification methods for road adhesion coefficients, a critical parameter for optimizing vehicle control strategies under complex driving conditions. In his highly cited 2024 study, Dr. Xu introduced an improved MobileNet V3-based approach that significantly boosts the accuracy and speed of road surface state recognition, enabling vehicles to adapt their safety systems dynamically. This contribution directly addresses the challenge of maintaining driving stability on varying road surfaces, from dry asphalt to ice. With over 7 citations in a short span, his research is gaining rapid traction among automotive engineers and AI researchers. Dr. Xu’s work bridges the gap between deep learning and vehicular dynamics, offering practical solutions for next-generation autonomous and assisted driving systems. His achievements underscore a commitment to making roads safer through intelligent, data-driven innovations.
Research Focus
Key Achievements
Top Papers
- 1