Applying High-Level Understanding to Visual Localisation for Mapping
Digital cameras are often used on robots these days. One of the common limitations of these cameras is a relatively small field of view. Consequently, the camera is usually tilted downwards to see the floor immediately in front of the robot in order to avoid obstacles. With the camera tilted, vertical edges no longer appear vertical in the image. This feature can however be used to advantage to discriminate amongst straight line edges extracted from the image when searching for landmarks. It might also be used to estimate angles of rotation and distances moved between successive images in order to assist with localisation. Horizontal edges in the real world very rarely appear horizontal in the image due to perspective. By mapping these back to real-world coordinates, it is possible to use the locations of these edges in two successive images to measure rotations or translations of the robot.
The aim of this study is to find the solutions of quality improvement for selected leading universities in the North of Vietnam. The authors collected data from parents, staffs, government officer, industrial experts, etc. This study used Likert scale of five. From the results of hypotheses, the author found the relationships among variables. Based on that point of view, the author proposed general recommendations for university and leaders and the suggestion for each stakeholder in education. In terms of important findings, finding dimensions and analyzing their relationships contribute to the evaluation of educational quality in North of Vietnam.