M. Ganesan

Papers

Total Citations

H-Index

About

M. Ganesan is a rising researcher in mobile robotics and computer vision, whose work focuses on enabling intelligent, autonomous systems for real-world applications. His primary research areas include Simultaneous Localization and Mapping (SLAM), object detection, and depth estimation, with a strong emphasis on creating practical solutions for indoor surveillance and assistive technologies. Ganesan’s most cited work, “Realization of SLAM and Object Detection using Ultrasonic Sensor and RGB-HD Camera” (2022, 13 citations), addresses the persistent challenge of multi-object detection in mobile robotics by fusing sensor data for robust environmental mapping. He further advanced the field with “An Omni-Directional Self driving Robot for Indoor Surveillance” (2024, 12 citations), a systematic approach to developing autonomous robots tailored for elderly care and safety monitoring. His most recent contribution, “Depth and Dimension Estimation Using Computer Vision” (2025, 9 citations), tackles the critical issue of scale ambiguity in monocular cameras, offering a novel method for precise distance measurement vital for robotics and autonomous vehicles. With over 30 citations across his key publications, Ganesan’s work demonstrates a clear trajectory toward bridging the gap between theoretical computer vision and deployable robotic systems, making him a promising voice in autonomous navigation and human-centric robotics.