Active Image-based Modeling with a Toy Drone

Image-based modeling techniques can now generate photo-realistic 3D models from images. But it is up to users to provide high quality images with good coverage and view overlap, which makes the data capturing process tedious and time consuming. We seek to automate data capturing for image-based modeling. The core of our system is an iterative linear method to solve the multi-view stereo (MVS) problem quickly and plan the Next-Best-View (NBV) effectively. Our fast MVS algorithm enables online model reconstruction and quality assessment to determine the NBVs on the fly. We test our system with a toy unmanned aerial vehicle (UAV) in simulated, indoor and outdoor experiments. Results show that our system improves the efficiency of data acquisition and ensures the completeness of the final model.Comment: To be published on International Conference on Robotics and Automation 2018, Brisbane, Australia. Project Page: https://huangrui815.github.io/active-image-based-modeling/ The author's personal page: http://www.sfu.ca/~rha55

Polidrone – Business Plan of a multipurpose modular drone produced via FDM

El TFG, realizado conjuntamente con la oficina I3P del Politécnico de Turín, constituye un Plan de Negocio para un dron creado y patentado por una serie de personas vinculadas al Politécnico de Turín con el fin de evaluar su viabilidad. La primera fase del Proyecto fue la definición de los casos de uso o nichos de mercado para los que iba destinado el dron. Para ello se tuvo que tener una absoluta comprensión mecánica del dron, destacando nuestras ventajas competitivas. También se realizó una serie de encuestas, entrevistas y análisis de mercado. Tomando como base los casos de uso elegidos, se realizó el Plan de Negocio completo. El cual analiza los puntos fuertes del dron, los segmentos y el tamaño de mercado, los clientes potenciales, la forma de comercialización, su distribución y venta, su promoción, fijar el precio, los proveedores, los materiales y equipos necesarios, su plan de financiación y beneficios esperados en 5 años, análisis de la competencia, etc. Finalmente, el Plan de Negocio fue presentado como concursante en una competición regional de proyectos innovadores. La START CUP Piemonte-Valle d’Aosta.Departamento de Ciencias de los Materiales e Ingeniería Metalúrgica, Expresión Gráfica en la Ingeniería, Ingeniería Cartográfica, Geodesia y Fotogrametría, Ingeniería Mecánica e Ingeniería de los Procesos de FabricaciónGrado en Ingeniería Mecánic

Movement and Mobility: Representing Trauma Through Graphic Narratives

The formal and stylistic movements found within the comic architecture of From Busan to San Francisco and Mail Order Bride interrogate the ways in which the visual and textual narrative can represent the emotional landscape of trauma and displacement through comics language. Engaging in a visual and textual critique of the global economy that trades in feminine identities, these graphic narratives interrogate the mobility and visibility of those who are trafficked. In these works, transnationalism is artistically embedded in consumptive practices of reading and seeing that reinforce or challenge Orientalist cultural assumptions about the Asian female body. Geographical movements of protagonists from South Korea to US and Canada as well as graphical movements of panel arrangements provide a form of ethical optics that allow us to reconsider narratives of trauma and commodification

Drones in Railways

Evidence shows that the applications of drones are increasing quickly in many industries. Railways are no exception. Due to fast advances in technology, drones are on the verge of breakthroughs that will affect future applications, implementations, and their consequences. Looking ahead, we elaborate on the potential for drones in railways. We use scenario planning and combine it with the findings of an action research project, which we conducted with Swiss Federal Railways (SBB). First, we explore the applications and future trends of drone use in railway operations. Second, based on seven identified factors that may affect the future of drones in railways by 2030, we develop three future scenarios: pessimistic, realistic, and optimistic. The study results help practitioners make informed decisions regarding future drone programs in railways. We also contribute theoretical insights into how high-potential technologies can unleash new capabilities in railway operations