Isam Abu‐Qasmieh
Papers
1
Total Citations
2
H-Index
1
About
Isam Abu‐Qasmieh is a researcher specializing in sensor-based 3D localization and ultrasonic imaging systems. His work focuses on developing innovative methods for object detection and spatial mapping using low-resolution sensor arrays, addressing challenges in collision avoidance, robotic guidance, and computer vision. His most cited paper, "Triad system for object's 3D localization using low-resolution 2D ultrasonic sensor array" (2020), introduces a novel approach that enables accurate three-dimensional positioning with minimal hardware complexity, demonstrating significant potential for cost-effective automation and navigation systems. With 2 citations, this work has laid groundwork for further exploration in affordable sensing technologies. Abu‐Qasmieh’s contributions are particularly valuable in bridging the gap between high-cost precision systems and practical, low-resolution alternatives, making 3D localization more accessible for real-world applications. His research continues to influence advancements in sensor fusion and spatial intelligence, offering promising solutions for robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1