Research Experience of an Undergraduate Student in Computer Vision and Robotics
Ayush V. Gowda (1), Juan D. Yepes (1), Daniel Raviv (1) ((1) Florida, Atlantic University)

TL;DR
This paper narrates an undergraduate student's educational journey in computer vision and robotics, emphasizing technical skill development, challenges faced, and the application of optical flow for moving object detection during camera translation.
Contribution
It provides a detailed account of a student's learning process, including technical, problem-solving, and interpersonal skills gained in the fields of computer vision and robotics.
Findings
Successful application of optical flow for moving object detection
Insights into overcoming challenges in camera motion scenarios
Development of technical and interpersonal skills
Abstract
This paper focuses on the educational journey of a computer engineering undergraduate student venturing into the domain of computer vision and robotics. It explores how optical flow and its applications can be used to detect moving objects when a camera undergoes translational motion, highlighting the challenges encountered and the strategies used to overcome them. Furthermore, the paper discusses not only the technical skills acquired by the student but also interpersonal skills as related to teamwork and diversity. In this paper, we detail the learning process, including the acquisition of technical and problem-solving skills, as well as out-of-the-box thinking.
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Taxonomy
TopicsMechatronics Education and Applications · Technology-Enhanced Education Studies · Robotics and Automated Systems
