Filipe Mutz

Instituto Federal do Espírito Santo, Universidade Federal do Espírito Santo

Papers

Total Citations

159

H-Index

About

Filipe Mutz is a leading researcher in autonomous vehicle technology, with a primary focus on large-scale mapping, neural control systems, and self-driving car architectures. His most impactful work, "Large-scale mapping in complex field scenarios using an autonomous car" (86 citations), addresses the critical challenge of real-world mapping for autonomous navigation in unstructured environments. Mutz further advanced the field with his comprehensive "Self-driving cars: A survey" (53 citations), which provides a systematic overview of the state of the art. A key technical contribution is his development of Neural-Based Model Predictive Control (N-MPC) to compensate for steering delays in autonomous cars—a practical solution implemented in the IARA (Intelligent and Autonomous Robotic Automobile) platform. His work on simulating robotic cars using time-delay neural networks (7 citations) demonstrates his innovative approach to modeling vehicle dynamics. Through these contributions, Mutz has established himself as a significant figure in autonomous driving research, bridging the gap between theoretical control methods and real-world deployment challenges.