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SELF-CALIBRATING FUSION OF MULTI-SENSOR SYSTEM FOR AUTONOMOUS VEHICLE OBSTACLE DETECTION AND TRACKING
No full textMobile robots have gained significant attention due to their ability to undertake complex tasks in various applications, ranging from autonomous vehicles to robotics and augmented reality. To achieve safe and efficient navigation, these robots rely on sensor data from RADAR, LiDAR, and Cameras to understand their surroundings. However, the integration of data from these sensors presents challenges, including data inconsistencies and sensor limitations. This thesis proposes a novel LiDAR and Camera sensor fusion algorithm that addresses these challenges, enabling more accurate and reliable perception for mobile robots and autonomous vehicles. The proposed algorithm leverages the unique strengths of both LiDAR and camera sensors to create a holistic representation of the environment. It adopts a multi-sensor data fusion (MSDF) approach, combining the complementary characteristics of LiDAR's precise 3D Point Cloud Data and the rich visual information provided by cameras. The fusion process involves sensor data registration, calibration, and synchronization, ensuring accurate alignment and temporal coherence. The algorithm introduces a robust data association technique that mateches LiDAR points with visual features extracted from camera images. By fusing these data, the algorithm enhances object detection and recognition capabilities, enabling the robot to perceive the environment with higher accuracy and efficiency. Additionally, the fusion technique compensates for sensor-specific limitations, such as LiDAR's susceptibility to adverse weather conditions and the camera's vulnerability to lighting changes, resulting in a more reliable perception system. The thesis contributes to advancing mobile robot perception by providing a comprehensive and practical LiDAR and camera sensor fusion algorithm. This novel approach has significant implications for autonomous vehicles, robotics, and augmented reality applications, where accurate and reliable perception is vital for successful navigation and task execution. By addressing the limitations of individual sensors and offering a more unified and coherent perception system, the proposed algorithm paves the way for safer, more efficient, and intelligent mobile robot solutions in various real-world settings
School-Based Physical Therapists' Perceptions about Becoming Effective Practitioners through Professional Development
No full textAims: The aims of this study were to explore perceptions of school-based physical therapists (SBPTs) about professional development and effective practice and to create a conceptual framework to help understand how SBPTs become effective practitioners who continue to learn and grow professionally as clinicians in an educational setting.
Methods: Twenty school-based physical therapists completed a demographic questionnaire and a semi-structured interview. Guiding interview questions focused on SBPTs' perceptions of roles and responsibilities, professional development, barriers, and recommendations.
Results: Participants identified roles and personal qualities of effective SBPTs. Three concepts for the process of professional development were developed: educational context and culture, barriers to effective practice, and strategies for professional development.
Conclusion: The development of effective practice for SBPTs is a multifaceted, iterative process involving a unique set of knowledge, skills, and behaviors that allow them to fulfill their roles. The process takes time and effort to understand the self within the educational context and culture, recognize barriers to effective practice, and develop strategies for success. A conceptual framework was developed to assist SBPTs in implementing a plan for professional development that leads to effectively providing services to students and functioning as essential members of the educational team
Israel Conflict statement
No full textStatement from President Pescovitz regarding Hamas terrorist attack in Israel
Optimal Cut-Points for Diagnostic Variables in Complex Surveys
No full textThe ability to diagnose an individual is crucial in promoting treatment and improved health. However, finding a simple tool to base the diagnosis on can be complicated. This research will focus on developing statistical methodology for accurate diagnostic tests in the context of complex survey data. The proposed method will be illustrated with data from National Health and Nutrition Examination Survey (NHANES) to construct a diagnostic test to predict cardiometabolic disease risk in the US younger population. This research will begin with the exploration of a single diagnostic variable to be used as a diagnostic tool. The first 1-dimensional method explored uses receiver operating characteristic (ROC) curves for survey data as a means of determining an optimal cut-point for the diagnostic variable. This method is shown to be accurate but not conducive to multi-variable diagnostic tools using survey data. Another 1-dimensional method uses logistic regression for survey data to determine an optimal cut-point, using minimizing information criteria such as AIC to select the cut-point. The method is applied to NHANES data but considering a single diagnostic variable is shown to be too simplistic to create a comprehensive diagnostic tool. This method will then be extended to a multi-dimensional case, creating a diagnostic tool based on multiple variables using logistic regression for survey data. This method, although accurate, is shown to be time-consuming and computationally inefficient. A modified method using kriging-based optimization is proposed. Under this method, a more efficient search algorithm of efficient global optimization is explored, using a criterion of expected improvement. This proposed method is more computationally efficient in creating a multi-dimensional diagnostic tool. Application of these methods in a healthcare setting could be beneficial in promoting quick and easy diagnosis
The Brexit Scare: Why wasn’t Brexit as Consequential as Anticipated?
No full textCurrently, there is little scholarship surrounding the economic and political implications on other European Union (EU) nations in the aftermath of Brexit. Despite many dire predictions, we are yet to see any kind of appreciable drop in commerce between the UK and the three largest EU economies in the wake of Brexit. These results contradict the pre-Brexit theories of many who believed the UK and its major trade partners would suffer greatly. By analyzing the health of these economies and comparing it to the research done surrounding Britain's post-Brexit economy, we can analyze the importance or lack thereof, the European Union has on the economies within it. With great emphasis on the suffering that was expected pre-Brexit, it is imperative to understand why there were minimal economic repercussions despite expectations and how this could lead to further fragmentation of the European Union
Minutes of the Meeting of the University Senate, January 19, 2023
No full text1. Informational Items: New Graduate Certificates (Artificial Intelligence for IT Operations, Augmented and Virtual Reality, AI for Cyber Security and Trustworthy AI, Edge AI and IoT,Embedded AI, Ethics of AI, Foundations of Computer Science, Machine Learning, Machine Vision and Robotics, Smart Manufacturing and Industry 4.0); Modifications (Oncology Rehabilitation Graduate Certificate, Teaching Elementary Education MA, Teaching Secondary Education MA, Forensic Nursing Graduate Certificate); New Undergraduate Program Proposals (Applied Health Sciences, BS, Specialization in Radiologic Technology Leadership, Studio Art with K-12 Art Education for STEP Major in Secondary Teacher Education Program proposal); Combined Graduate School and Undergraduate Submissions; Oakland University Senate Membership Update; Provost Update | 2. Roll Call | 3. Approval of the Minutes of December 15, 2022 | 4. Unfinished Business: Community Engagement Committe charge (2nd reading - approved); University Research Committee charge (2nd reading - approved); Cybersecurity BS program proposal (2nd reading - approved); University Library Constitution (2nd reading - approved); Clinical and Diagnostic Sciences MS program proposal (2nd reading - approved); Undergraduate Major definition (2nd reading - approved); Undergraduate Minor definition (2nd reading - postponed) | 5.New Business: Procedural Motion to staff Senate Standing Committees | 6. Good and Welfare | Adjourn
