Enrique Onieva

Centre for Automation and Robotics, Consejo Superior de Investigaciones Científicas

Papers

Total Citations

106

H-Index

About

Dr. Enrique Onieva is a leading researcher in intelligent transportation systems and autonomous vehicle navigation, with a focus on applying fuzzy logic to real-world driving challenges. His most cited work, “A fuzzy aid rear-end collision warning/avoidance system” (2012, 94 citations), introduces a novel fuzzy logic-based framework to enhance vehicle safety by predicting and mitigating rear-end collisions—a critical contribution to the field of advanced driver-assistance systems (ADAS). Beyond collision avoidance, Onieva has advanced autonomous navigation through his work on “Path following with backtracking based on fuzzy controllers for forward and reverse driving” (2012, 12 citations), which addresses the complex problem of outdoor mobile robot guidance using GPS-based path tracking. This research demonstrates how fuzzy controllers can enable automatic vehicles to navigate challenging terrains with precision, including reverse maneuvers. His contributions bridge the gap between theoretical fuzzy systems and practical vehicular applications, offering scalable solutions for safer, more efficient autonomous driving. With a career dedicated to merging artificial intelligence with automotive engineering, Onieva’s work continues to influence the development of smarter, more responsive vehicles, making him a key figure in the evolution of intelligent mobility.