Janito Vaqueiro Ferreira
Papers
8
Total Citations
130
H-Index
5
About
Janito Vaqueiro Ferreira is a Brazilian robotics researcher whose work bridges perception, control, and autonomous navigation for both ground and underwater vehicles. Based at the University of Campinas (UNICAMP), his research focuses on developing practical, computationally efficient solutions for real-time autonomous systems. His most influential contribution is the application of Pearson’s correlation coefficient to image processing for autonomous robotics, a method that reduces redundant visual information and improves real-time navigation performance—a paper that has garnered 69 citations. Ferreira has also made significant strides in underwater robotics, evaluating fixed and vectorial propulsion systems for Autonomous Underwater Vehicles (AUVs) using dynamic simulation and nonlinear control. His work on hardware-in-the-loop (HIL) system characterization addresses critical time-delay challenges in robotic testing. Additionally, he has contributed to path tracking control for commercial vehicles using Model Predictive Control (MPC) and developed spline-based path generation algorithms for autonomous cars. With over 120 total citations across his publications, Ferreira’s research is characterized by a hands-on, simulation-to-deployment approach, advancing both the theoretical foundations and practical implementations of autonomous vehicle systems.
Research Focus
Key Achievements
Top Papers
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- 6Local and global path generation for autonomous vehicles using splines5 citations · 2015
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- 8A Visual-Perception Layer Applied to Reactive Navigation3 citations · 2012