AILiveSim : An Extensible Virtual Environment for Training Autonomous Vehicles

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http://hdl.handle.net/10138/317519

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Leudet , J , Christophe , F , Mikkonen , T & Männistö , T 2019 , AILiveSim : An Extensible Virtual Environment for Training Autonomous Vehicles . in 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) . Proceedings - International Computer Software & Applications Conference , IEEE , pp. 479-488 , IEEE Annual Computer Software and Applications Conference , Milwaukee , United States , 15/07/2019 . https://doi.org/10.1109/COMPSAC.2019.00074

Title: AILiveSim : An Extensible Virtual Environment for Training Autonomous Vehicles
Author: Leudet, Jerome; Christophe, Francois; Mikkonen, Tommi; Männistö, Tomi
Contributor: University of Helsinki, AILiveSim Oy
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Publisher: IEEE
Date: 2019
Number of pages: 12
Belongs to series: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
Belongs to series: Proceedings - International Computer Software & Applications Conference
ISBN: 978-1-7281-2607-4
URI: http://hdl.handle.net/10138/317519
Abstract: Virtualization technologies have become common- place both in software development as well as engineering in a more general sense. Using virtualization offers other benefits than simulation and testing as a virtual environment can often be more liberally configured than the corresponding physical envi- ronment. This, in turn, introduces new possibilities for education and training, including both for humans and artificial intelligence (AI). To this end, we are developing a simulation platform AILiveSim. The platform is built on top of the Unreal Engine game development system, and it is dedicated to training and testing autonomous systems, their sensors and their algorithms in a simulated environment. In this paper, we describe the elements that we have built on top of the engine to realize a Virtual Environment (VE) useful for the design, implementation, application and analysis of autonomous systems. We present the architecture that we have put in place to transform our simulation platform from automotive specific to be domain agnostic and support two new domains of applications: autonomous ships and autonomous mining machines. We describe the important specificity of each domain in regard to simulation. In addition, we also report the challenges encountered when simulating those applications, and the decisions taken to overcome these challenges.
Subject: 113 Computer and information sciences
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Full text embargoed until: 2020-07-09


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