A. Moussa

Papers

Total Citations

H-Index

About

A. Moussa is a researcher specializing in autonomous robotics, simultaneous localization and mapping (SLAM), and 3D indoor environment modeling. Their work focuses on enabling autonomous vehicles — including wheeled robots and drones — to navigate and understand complex indoor environments, with particular relevance to critical applications such as search and rescue operations. Among their notable contributions is an improved reference key frame algorithm (2019), which advances SLAM methodologies to enhance the reliability and efficiency of autonomous navigation in unknown indoor spaces. Their earlier work on RGB-D indoor plane-based 3D modeling (2014) demonstrated a sophisticated system combining visual odometry with rich spatial modeling, providing remote users with detailed environmental representations that improve place recognition and situational awareness. With citations accumulated across their published works, Moussa's research addresses fundamental challenges at the intersection of computer vision, robotics, and spatial mapping. Their contributions are particularly valuable in scenarios where human access is limited or dangerous, making autonomous navigation systems both smarter and more dependable. Students and researchers working in mobile robotics, indoor localization, or human-robot interaction will find Moussa's methodological insights directly applicable to real-world autonomous systems development.