Narayan Murmu

National Institute of Technology Durgapur

Papers

Total Citations

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About

Dr. Narayan Murmu is a researcher at the forefront of computer vision and autonomous systems, with a particular focus on low-cost, single-camera stereo vision and neuromorphic computing. His most influential work, "Relative velocity measurement using low cost single camera-based stereo vision system" (2019, 28 citations), introduces a novel approach to extracting depth and motion information from a single camera, significantly reducing hardware costs for applications in autonomous navigation and robotics. Building on this, his "Lane and Obstacle Detection System Based on Single Camera-Based Stereo Vision System" (2021) further demonstrates practical implementations for driver-assistance technologies. More recently, Dr. Murmu has ventured into the emerging field of spiking neural networks (SNNs) for computer vision, as evidenced by his 2023 review "Spiking Neural Network in Computer Vision: Techniques, Tools and Trends" (15 citations), which provides a comprehensive roadmap for energy-efficient, brain-inspired visual processing. His work bridges the gap between traditional stereo vision and next-generation neuromorphic hardware, offering scalable solutions for real-time perception in resource-constrained environments. With a growing citation impact, Dr. Murmu's contributions are shaping the future of affordable, intelligent vision systems.