Mostafa Mansour

Mostafa Mansour is a Doctoral Researcher with an education in Technical Sciences from Kalashnikov Izhevsk State Technical University (2014). His research focuses on advanced computer vision and robotics, particularly in depth estimation, SLAM (Simultaneous Localization and Mapping), and sensor fusion techniques. His work integrates motion parameters, camera systems, and semantic information to enhance navigation and autonomous systems.

Education:

• Technical Sciences Education: Kalashnikov Izhevsk State Technical University (2014)

Research Interests:

• Depth Estimation via motion parallax and stereo vision
• SLAM algorithms for monocular and semantic navigation
• Sensor fusion in robotics and autonomous systems
• 3D position and velocity estimation for traffic analysis

Recent Work Trends: Mansour's publications (2015–2025) highlight innovations in depth accuracy analysis, Gaussian splatting for monocular SLAM, and the integration of semantic data with motion parameters. His 2025 work on UDGS-SLAM demonstrates advancements in real-time 3D mapping using monocular cameras. Earlier research (2015–2019) emphasized complementary filters, nonlinear measurement correction, and indoor navigation with rangefinders.

Collaborations: Engaged with international teams, including co-authors from institutions contributing to robotics and navigation systems. Research spans academic and applied domains, with notable contributions to Robotics and Autonomous Systems and Gyroscopy and Navigation.