文章基本信息

标题：Vostok: 3D scanner simulation for industrial robot environments
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作者：Alessandro Rossi ; Marco Barbiero ; Ruggero Carli 等
期刊名称：ELCVIA: electronic letters on computer vision and image analysis
印刷版ISSN：1577-5097
出版年度：2020
卷号：19
期号：3
页码：71-84
DOI：10.5565/rev/elcvia.1244
出版社：Centre de Visió per Computador
摘要：Computer vision will drive the next wave of robot applications. Latest three-dimensional scanners provide increasingly realistic object reconstructions. We introduce an innovative simulator that allows interacting with those scanners within the operating environment, thus creating a powerful tool for developers, researchers and students. In particular, we present a novel approach for simulating structured-light and timeof-flight sensors. Qualitative results demonstrate the efficiency and reliability in industrial environments. By using the programmability of modern GPUs, it is now possible to make greater use of parallelized simulative approaches. Apart from the easy modification of sensor parameters, the main advantage in simulation is the opportunity of carrying out experiments under reproducible conditions, especially for dynamic scene setups. Moreover, thanks to a great computational power, it is possible to generate huge amounts of synthetic data which can be used as test datasets for training machine learning models.
关键词：Structured-light;Time-of-Flight;Ray tracing;Robotics;Synthetic data;Computer vision