边缘语义轨迹规划优化移动机器人环境感知自主导航

2020 16th IEEE International Conference on Factory Communication Systems (WFCS) Pub Date : 2020-04-01 DOI:10.1109/WFCS47810.2020.9114454

T. Klaas, Jens Lambrecht, E. Funk

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引用次数: 0

摘要

自主移动运输系统是灵活生产组织的关键推动者。为了增强软件生命周期管理和整体功能范围，将基于服务的软件功能卸载到云和边缘是单片板载软件架构的有效替代方案。我们介绍了一种基于边缘计算的经典自主导航堆栈改进方法，该方法考虑了使用视觉目标检测和定位的语义策略。因此，可以实施关于安全和效率的上下文感知导航，例如，满足生产、医院或公共领域的标准和指南的指示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Semantic Trajectory Planning on the Edge for Optimized Context-Aware Autonomous Navigation of Mobile Robots

Autonomous mobile transport systems are a key enabler for flexible production organization. In order to enhance the software life cycle management and the overall function range, service-based offloading of software function towards cloud and edge is a valid alternative to monolithic onboard software architectures. We introduce an approach towards an edge-computing-based improvement of the classic autonomous navigation stack in terms of considering semantic policies using visual object detection and localization. Thus, context-aware navigation in regards to safety and efficiency can be implemented, e.g. to fulfill directions of standards and guidelines for production, hospital or public domains.

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2020 16th IEEE International Conference on Factory Communication Systems (WFCS)

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