Patrick Y. Shinzato

Universidade de São Paulo, Universidade Federal de São Carlos

Papers

15

Total Citations

280

H-Index

9

About

Patrick Y. Shinzato is a robotics and computer vision researcher whose work centers on autonomous vehicle navigation, visual road recognition, and intelligent robotic systems. Best known for his contributions to the CaRINA (Intelligent Robotic Car) project, Shinzato has played a pivotal role in developing the architectural frameworks and perception systems that enable vehicles to navigate autonomously in complex urban environments — work that has accumulated over 100 citations and stands as his most influential contribution to the field. A recurring theme throughout Shinzato's research is the application of artificial neural networks (ANNs) to real-world navigation challenges. From early investigations into path recognition in outdoor settings to more sophisticated systems combining ANNs with finite state machines and template-based control strategies, his work demonstrates a sustained commitment to making autonomous navigation both robust and computationally practical. His contributions to fast visual road recognition and horizon detection further highlight his focus on real-time performance — a critical requirement for mobile robotics. With over 260 cumulative citations across his published work, Shinzato has made meaningful contributions to lateral lane estimation, obstacle avoidance, and vision-based control systems. His research offers valuable foundational insights for students and engineers working at the intersection of machine learning, computer vision, and autonomous vehicle technology.

Research Focus

Key Achievements

9
H-Index
15
Papers
280
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
CaRINA Intelligent Robotic Car: Architectural design and applications
100 citations · 2014
📈 Most Prolific Year: 2010 (6 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Universidade de São Paulo, Universidade Federal de São Carlos

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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