Lidar and AI Based Surveillance of Industrial Process Environments

Maik Groneberg; Olaf Poenicke; Chirag Mandal; Nils Treuheit

doi:10.2478/ttj-2023-0002

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Lidar and AI Based Surveillance of Industrial Process Environments

Transport and Telecommunication Journal

Volume 24 (2023): Issue 1 (February 2023)

By: Maik Groneberg, Olaf Poenicke, Chirag Mandal and Nils Treuheit

Open Access

|Feb 2023

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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Articles in this issue

DOI: https://doi.org/10.2478/ttj-2023-0002 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160

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Language: English

Page range: 13 - 21

Published on: Feb 28, 2023

Published by: Transport and Telecommunication Institute

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

LiDAR,

dynamic 3D point cloud,

object detection,

AI,

industrial application,

synthetic data

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2023 Maik Groneberg, Olaf Poenicke, Chirag Mandal, Nils Treuheit, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2023): Issue 1 (February 2023)