Met toestemming overgenomen uit Microniek, 2020, nr. 5 A stereo-vision system that was developed for application in mobile robots turned outto lack depth resolution in the background of the pictures. A simulator was built togain understanding of the parameters that influence depth estimation in stereo vision.In this article we will explain how these properties influence depth resolution andprovide a link to the webtool that was made to interactively observe and evaluate theresulting depth resolution when the parameters are varied. This tool makes it possibleto find the correct hardware that provides the resolution required, or to determinethe resolution for specific hardware.
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Technology is becoming omnipresent in public spaces: from CCTV cameras to smart phones, and from large public displays to RFID enabled travel cards. Although such technology comes with great potential, it also comes with apparent (privacy) threats and acceptance issues. Our research focuses on realizing technologyenhanced public spaces in a way that is acceptable and useful for the public. This paper gives a brief overview of the research that is aimed to unlock the positive potential of public spaces. This paper’s main focus is on the acceptance of sensor technology in the realm of tourism. The ITour project which investigates the potential and acceptance of using (sensor) technology and ambient media to collect, uncover and interpret data regarding tourists’ movements, behavior and experiences in the city of Amsterdam is particularly discussed as an example.
Cozmo is a real-life robot designed to interact with people playing games, making sounds, expressing emotions on a LCD screen and many other pre-programmable functions. We present the development and implementation of an educational platform for Cozmo mobile robot, with several features, including web server for user interface, computer vision, voice recognition, robot trajectory tracking control, among others. Functions for educational purposes were implemented, including mathematical operations, spelling, directions, and questions functions that gives more flexibility for the teachers to create their own scripts. In this system, a cloud voice recognition tool was implemented to improve the interactive system between Cozmo and the users. Also, a cloud computing vision system was used to perform object recognition using Cozmo's camera, to be applied on educational games. Other functions were created with the purpose of controlling the emotions and the motors of Cozmo to create more sophisticated scripts. To apply the functions on Cozmo robot, an interpreter algorithm was developed to translate the functions into Cozmo's programming language. To validate this work, the proposed framework was presented to several elementary school teachers (classes with students between 4 and 12). Students and teacher's impressions are reported in this text, and indicate that the proposed system can be a useful educational tool.
De overheid neemt steeds meer maatregelen in het kader van de veiligheid die tot gevolg hebben dat de privacy van burgers wordt ingeperkt. In hoeverre is de staat gelegitimeerd om dergelijke privacyinperkende maatregelen te nemen?Doel Het doel is om tot een afwegingsmodel te komen waarbij enerzijds wordt gekeken naar de waarde van privacy ten aanzien van de inperking en anderzijds wordt gekeken naar de verschillende factoren van veiligheid (Powell). Het model van Powell ten aanzien van de verschillende factoren van veiligheid is aangepast aan de context van het onderzoek. Daarnaast wordt de theorie van Dworkin ‘Rights as trumps’ gebruikt om tot een juiste afweging te komen. Resultaten Lees het artikel: The Value of Privacy and Surveillance Drones in the Public Domain: Scrutinizing the Dutch Flexible Deployment of Mobile Cameras Act in het Journal of Politics and Law Archives Vol. 10, No. 5 (2017) door Gerdo Kuiper en Quirine Eijkman. Looptijd 01 september 2012 - 01 augustus 2020 Aanpak De verschillende dimensies en waarde van privacy worden bekeken vanuit de geschiedenis van privacy in een Nederlandse en Amerikaanse context. Aan de hand van een historische- en een analytische beschouwing van het concept veiligheid wordt het model van Powell ten aanzien van de factoren veiligheid aangepast aan de context van dit onderzoek.
Due to the exponential growth of ecommerce, the need for automated Inventory management is crucial to have, among others, up-to-date information. There have been recent developments in using drones equipped with RGB cameras for scanning and counting inventories in warehouse. Due to their unlimited reach, agility and speed, drones can speed up the inventory process and keep it actual. To benefit from this drone technology, warehouse owners and inventory service providers are actively exploring ways for maximizing the utilization of this technology through extending its capability in long-term autonomy, collaboration and operation in night and weekends. This feasibility study is aimed at investigating the possibility of developing a robust, reliable and resilient group of aerial robots with long-term autonomy as part of effectively automating warehouse inventory system to have competitive advantage in highly dynamic and competitive market. To that end, the main research question is, “Which technologies need to be further developed to enable collaborative drones with long-term autonomy to conduct warehouse inventory at night and in the weekends?” This research focusses on user requirement analysis, complete system architecting including functional decomposition, concept development, technology selection, proof-of-concept demonstrator development and compiling a follow-up projects.
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
