Stefano De Pinto
Papers
1
Total Citations
35
H-Index
1
About
Stefano De Pinto is a leading researcher in autonomous vehicle control systems, with a primary focus on path tracking and automated driving technologies. His most cited work, the 2016 tutorial "Path Tracking for Automated Driving: A Tutorial on Control System Formulations and Ongoing Research" (35 citations), provides a comprehensive framework for understanding how autonomous vehicles navigate complex environments. De Pinto's major contributions lie in synthesizing and advancing control system formulations that enable precise path following, drawing inspiration from landmark projects like the DARPA Grand Challenges. His research bridges theoretical control engineering with practical autonomous driving applications, addressing critical challenges in vehicle stability, steering control, and trajectory optimization. By systematically categorizing and evaluating different control approaches, De Pinto has helped establish foundational knowledge for both researchers and engineers working on self-driving technology. His work continues to influence the development of safer, more reliable autonomous systems, making him a respected voice in the rapidly evolving field of automated driving.
Research Focus
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Top Papers
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