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http://elar.urfu.ru/handle/10995/103134
Название: | Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D |
Авторы: | Liu, Y. Novotny, G. Smirnov, N. Morales-Alvarez, W. Olaverri-Monreal, C. |
Дата публикации: | 2020 |
Издатель: | Institute of Electrical and Electronics Engineers Inc. |
Библиографическое описание: | Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D / Y. Liu, G. Novotny, N. Smirnov, et al. — DOI 10.1109/IV47402.2020.9304701 // IEEE Intelligent Vehicles Symposium, Proceedings. — 2020. — P. 15-20. — 9304701. |
Аннотация: | In the context of Intelligent Transportation Systems and the delivery of goods, new technology approaches need to be developed in order to cope with certain challenges that last mile delivery entails, such as navigation in an urban environment. Autonomous delivery robots can help overcome these challenges. We propose a method for performing mixed reality (MR) simulation with ROS-based robots using Unity, which synchronizes the real and virtual environment, and simultaneously uses the sensor information of the real robots to locate themselves and project them into the virtual environment, so that they can use their virtual doppelganger to perceive the virtual world. Using this method, real and virtual robots can perceive each other and the environment in which the other party is located, thereby enabling the exchange of information between virtual and real objects. Through this approach a more realistic and reliable simulation can be obtained. Results of the demonstrated use-cases verified the feasibility and efficiency as well as the stability of implementing MR using Unity for Robot Operating System (ROS)-based robots. © 2020 IEEE. |
Ключевые слова: | CONTRACTS INTELLIGENT SYSTEMS INTELLIGENT VEHICLE HIGHWAY SYSTEMS MIXED REALITY URBAN TRANSPORTATION DELIVERY OF GOODS EXCHANGE OF INFORMATION INTELLIGENT TRANSPORTATION SYSTEMS ROBOT OPERATING SYSTEMS (ROS) SENSOR INFORMATIONS URBAN ENVIRONMENTS VIRTUAL ROBOTS VIRTUAL WORLDS ROBOTS |
URI: | http://elar.urfu.ru/handle/10995/103134 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85099887317 |
Идентификатор WOS: | 000653124200003 |
Идентификатор PURE: | cc385680-e9d2-4d0e-9c4b-ae1e95d52710 20887861 |
DOI: | 10.1109/IV47402.2020.9304701 |
Сведения о поддержке: | This work was supported by the Austrian Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) Endowed Professorship for Sustainable Transport Logistics 4.0. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85099887317.pdf | 3,24 MB | Adobe PDF | Просмотреть/Открыть |
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