Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data

To master changing performance demands, autonomous transport vehicles are deployed to make inhouse material flow applications more flexible. The socalled cellular transport system consists of a multitude of small scale transport vehicles which shall be able to form a swarm. Therefore the vehicles need to detect each other, exchange information amongst each other and sense their environment. By provision of peripherally acquired information of other transport entities, more convenient decisions can be made in terms of navigation and collision avoidance. This paper is a contribution to collective utilization of sensor data in the swarm of cellular transport vehicles.

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Publication Details

Journal
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Published
2025-04-17
DOI
https://doi.org/10.24406/publica-r-233874
Citations
2
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data

Andreas Kamagaew, Michael ten Hompel
2 citations
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Advanced Manufacturing and Logistics Optimization
article

Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data

Andreas Kamagaew, Michael ten Hompel
article en
2 citations

Abstract

To master changing performance demands, autonomous transport vehicles are deployed to make inhouse material flow applications more flexible. The socalled cellular transport system consists of a multitude of small scale transport vehicles which shall be able to form a swarm. Therefore the vehicles need to detect each other, exchange information amongst each other and sense their environment. By provision of peripherally acquired information of other transport entities, more convenient decisions can be made in terms of navigation and collision avoidance. This paper is a contribution to collective utilization of sensor data in the swarm of cellular transport vehicles.

Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Vol. 2013(10)
Openalex Percentile: Top 100%
Advanced Manufacturing and Logistics Optimization
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