Object Detection and Mapping During European Robotic Competitions - Lesson Learned

机译：欧洲机器人竞赛中的物体检测和映射-经验教训

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This paper describes the approach to three European robotic competitions ERL 2017 Major Tournament, ERL 2018 Local Tournament and ELROB 2018. In all of the competitions, GPU enabled SLAM was used to deliver the 3D map of the environment during the mission. In both ERL competitions, deep neural networks were used to identify objects of potential interest. Datasets used to train models and architectures of neural networks are described. All of the object detection models used during the competitions are published in a publicly available repository¹.

机译：本文介绍了欧洲机器人竞赛ERL 2017 Major Tournament，ERL 2018 Local Tournament和ELROB 2018这三项欧洲机器人竞赛的方法。在所有竞赛中，使用GPU支持的SLAM在任务执行期间提供了环境的3D地图。在两个ERL竞赛中，都使用深度神经网络来识别潜在感兴趣的对象。描述了用于训练神经网络的模型和体系结构的数据集。比赛中使用的所有对象检测模型均发布在可公开获取的存储库中 ^{1
。}

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《International Workshop on Robot Motion and Control》|2019年|98-103|共6页
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Karol Majek; Janusz Będkowski; Michał Pełka; Jakub Ratajczak; Andrzej Masłowski;
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Robots; Training; Neural networks; Computer architecture; Object detection; Valves; Graphics processing units;

机译：机器人;培训;神经网络;计算机体系结构;目标检测;阀门;图形处理单元;

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1. Lessons Learned in a Ball Fetch-And-Carry Robotic Competition [J] . Dario Lodi Rizzini, Stefano Caselli, Davide Valeriani, Journal of Automation, Mobile Robotics & Intelligent Systems . 2014,第1期

机译：取球机器人比赛中的经验教训
2. Multisensor Fusion-Based Concurrent Environment Mapping and Moving Object Detection for Intelligent Service Robotics [J] . Luo R.C., Chun Chi Lai IEEE Transactions on Industrial Electronics . 2014,第8期

机译：基于多传感器融合的并发环境映射和智能服务机器人运动对象检测
3. Object detection and mapping for service robot tasks [J] . Staffan Ekvall, Danica Kragic, Patric Jensfelt Robotica . 2007,第Pt2期

机译：服务机器人任务的对象检测和映射
4. Object Detection and Mapping During European Robotic Competitions - Lesson Learned [C] . Karol Majek, Janusz B?dkowski, Micha? Pe?ka, International Workshop on Robot Motion and Control . 2019

机译：欧洲机器人竞争期间的对象检测和映射 - 课程学习
5. An Analysis of American and European Business Operations in Africa: Lessons Learned Based on the Dynamic Interaction of Leadership with African Culture [D] . Benyah, Henry 2014

机译：非洲在美国和欧洲的业务运营分析：基于领导力与非洲文化动态互动的经验教训
6. Bringing Together Robotics Neuroscience and Psychology: Lessons Learned From an Interdisciplinary Project [O] . Olga A. Wudarczyk, Murat Kirtay, Anna K. Kuhlen, 2021

机译：带来机器人神经科学和心理学：从跨学科项目中吸取的经验教训
7. Supplementary material 1 from: Geneletti D, Adem Esmail B, Cortinovis C, Arany I, Balzan M, van Beukering P, Bicking S, Borges PA, Borisova B, Broekx S, Burkhard B, Gil A, Inghe O, Kopperoinen L, Kruse M, Liekens I, Lowicki D, Mizgajski A, Mulder S, Nedkov S, Ostergard H, Picanço A, Ruskule A, Santos-Martín F, Sieber IM, Svensson J, Vačkářů D, Veidemane K (2020) Ecosystem services mapping and assessment for policy- and decision-making: Lessons learned from a comparative analysis of European case studies. One Ecosystem 5: e53111. https://doi.org/10.3897/oneeco.5.e53111 [O] . Davide Geneletti, Blal Adem Esmail, Chiara Cortinovis, 2020

机译：补充材料1来自：Geneletti D，Adem esmail B，Cortinovis C，Arany I，Balzan M，Van Feukering P，击球S，Borges Pa，Borisova B，Broekx S，Burkhard B，Gil A，Inghe O，Kopperoinen L，Kruse M，Liekens I，Lowicki D，Mizgajski A，Mulder S，Nedkov S，Ostergard H，PicançoA，Ruskule A，Santos-MartínF，Svenson IM，Svensson J，Vačkářůd，Veidemane K（2020）生态系统服务映射和评估关于政策和决策：从欧洲案例研究的比较分析中汲取的经验教训。一个生态系统5：E53111。 https://doi.org/10.3897/oneeco.5.e53111
8. Robotic Range Clearance Competition (R2C2) Lessons Learned [R] . Lewis, W. A. 2009

机译：机器人清场比赛（R2C2）经验教训

Object Detection and Mapping During European Robotic Competitions - Lesson Learned

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