P E Gagan

Meenakshi Academy of Higher Education and Research

Papers

Total Citations

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About

P E Gagan is a researcher specializing in autonomous mobile robotics and artificial intelligence, with a particular focus on real-time navigation systems and computer vision. Their most notable contribution lies in the development of an autonomous mobile robot capable of identifying and classifying road signs using artificial neural networks (ANN). This work, published in 2019 and garnering 2 citations, addresses a critical challenge in autonomous navigation: enabling robotic vehicles to accurately interpret traffic signage in dynamic, real-world environments. Gagan’s approach integrates novel techniques to improve classification accuracy, moving beyond theoretical models to implement a working prototype that achieves reliable real-time performance. By bridging the gap between simulation and practical deployment, their research offers valuable insights for the advancement of self-driving technologies and intelligent transportation systems. Gagan’s work underscores the importance of robust sensor integration and machine learning in creating safer, more autonomous mobile platforms, making a meaningful contribution to the growing field of robotics and AI-driven navigation.