As social media and technology continue to impact the way students communicate and receive information, it is encouraged that university student-run organizations utilize social media platforms as a tool to further the development of their organizations. Social media platforms allow student organizations to network, promote awareness of their organizations, current campus events, and provide the opportunity to develop strong associations and interactions among students. Overall, student-run organizations currently utilize a wide variety of social media; however, frequently it is used without a clear understanding of its role and best practices, which could lead to a loss of effectiveness in their communication with students. Therefore, these factors suggest the need for university student-run organizations to recognize and understand the opportunities that effective social media strategies can bring as a communication tool to enhance student engagement.
for Unmanned Aerial Vehicles.
Towards enabling a UAV to autonomously sense and avoid moving obstacles, this thesis makes the following contributions. Initially, an image-based reactive motion planner is developed for a quadrotor to avoid a fast approaching obstacle. Furthermore, A Dubin’s curve based geometry method is developed as a global path planner for a fixed-wing UAV to avoid collisions with aircraft. The image-based method is unable to produce an optimal path and the geometry method uses a simplified UAV model. To compensate
these two disadvantages, a series of algorithms built upon the Closed-Loop Rapid Exploratory Random Tree are developed as global path planners to generate collision avoidance paths in real time. The algorithms are validated in Software-In-the-Loop (SITL) and Hardware-In-the-Loop (HIL) simulations using a fixed-wing UAV model and in real flight experiments using quadrotors. It is observed that the algorithm enables a UAV to avoid moving obstacles approaching to it with different directions and speeds.