Sandino Morales

Papers

Total Citations

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About

Sandino Morales is a researcher whose work lies at the intersection of mobile robotics, computer vision, and intelligent transportation systems. His primary research focuses on improving the accuracy and reliability of perception systems for moving platforms, particularly through the fusion of stereo vision and motion data. In his most cited work, "A Study on Stereo and Motion Data Accuracy for a Moving Platform" (2009, 14 citations), Morales provides critical insights into how sensor data can be calibrated and validated in dynamic environments—a foundational challenge for autonomous navigation. He also contributed to path planning with "An approximate algorithm for solving shortest path problems for mobile robots or driver assistance" (2009, 2 citations), which addresses practical problems such as identifying unique routes for evaluating vision software in test vehicles and calculating free-space boundaries for driver assistance systems. Though his citation counts are modest, his work is notable for tackling real-world constraints in robotics and automotive safety. Morales’ research is particularly valuable for students and engineers seeking to understand the practical challenges of deploying vision-based systems on moving platforms, from sensor fusion to efficient path computation.