Lalit Mohan Goyal

J.C. Bose University of Science & Technology, YMCA, Ansal University

Papers

Total Citations

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About

Dr. Lalit Mohan Goyal is a researcher whose work sits at the intersection of computational image processing and autonomous robotics. His primary research areas include fog elimination in digital imagery, multicolor detection for image analysis, and intelligent robot navigation. Dr. Goyal’s most impactful contribution is the development of the **FEMT (Fog Elimination using Multiple Thresholds)** algorithm, a computational approach that has garnered 7 citations for its novel method of clearing visual obstructions caused by fog. Building on this, his work on an efficient multicolor detection technique using global optimum thresholding (6 citations) provides a robust framework for precise image analysis. In the domain of robotics, Dr. Goyal has contributed a C-based algorithm for static obstacle avoidance, enabling mobile robots to navigate from an initial to a final position without collisions. This work, which includes a comparative analysis against existing methods, demonstrates his commitment to practical, real-world solutions. With a growing citation impact and a focus on solving fundamental challenges in vision and navigation, Dr. Goyal’s research offers valuable tools for students and engineers working in computer vision, autonomous systems, and intelligent robotics.