基于激光雷达和人工智能的工业过程环境监控

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY

Transport and Telecommunication Journal Pub Date : 2023-02-01 DOI:10.2478/ttj-2023-0002

Maik Groneberg, Olaf Poenicke, Chirag Mandal, Nils Treuheit

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引用次数: 0

摘要

摘要:本文描述了一种使用激光雷达传感器捕获工业过程环境中动态点云数据的系统方法，并使用基于人工智能的物体检测来解释捕获的场景。物体检测用于在安全相关的工作空间中区分人和其他移动物体。分析了与此类应用相关的几种人工智能方法。其中一种方法应用了带注释的测试数据，并对其准确性进行了评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Lidar and AI Based Surveillance of Industrial Process Environments

Abstract The paper describes a system approach to use LiDAR sensors for capturing dynamic point cloud data in industrial process environments and to interpret the captured scenes with AI based object detection. The object detection is used to distinguish between humans and other mobile objects in safety relevant workspaces. Several AI methods relevant for such application are analysed. One method is applied with annotated test data and evaluated concerning its accuracy.

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来源期刊

Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

3.00

自引率

0.00%

发文量

审稿时长

35 weeks