Asaad A. Alduais

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Asaad A. Alduais is a researcher focused on advancing autonomous systems, particularly in the realms of robotics and drone technology. His work centers on overcoming critical challenges in computer vision and perception, with a key contribution being the enhancement of monocular depth estimation—a fundamental capability for enabling robots and drones to navigate and operate independently. In his notable 2022 paper, "Enhancing Monocular Depth Estimation via Image Pre-processing Techniques," Alduais demonstrated how targeted image pre-processing can significantly improve depth perception accuracy from a single camera, reducing reliance on expensive sensors. This work, which has garnered 3 citations, addresses a pressing need for cost-effective, efficient solutions in autonomous operations. By tackling the hurdles of minimizing human intervention and boosting operational efficiency, Alduais’s research directly supports the growing deployment of autonomous systems in applications ranging from industrial automation to aerial surveillance. His contributions are paving the way for more reliable and accessible autonomous technologies, making him a promising voice in the field of intelligent robotics and computer vision.