Khalid Yousif

Papers

Total Citations

308

H-Index

About

Khalid Yousif is a leading researcher in mobile robotics, with a primary focus on visual odometry and simultaneous localization and mapping (SLAM). His seminal work, "An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics" (2015), has garnered over 308 citations, establishing itself as a foundational resource for students and engineers entering the field. Yousif’s contributions demystify the complex interplay between computer vision and autonomous navigation, providing clear frameworks for how robots can perceive and map unknown environments using only camera inputs. His research has directly influenced the development of cost-effective, vision-based navigation systems for drones, autonomous vehicles, and service robots. Beyond this landmark review, Yousif is recognized for advancing robust feature extraction and pose estimation techniques that improve SLAM accuracy in dynamic, real-world settings. His work bridges theoretical algorithms with practical deployment, making him a key figure in the transition of visual SLAM from laboratory experiments to industrial applications. For any researcher exploring autonomous navigation, Yousif’s insights offer both a comprehensive entry point and a lasting reference.